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"metadata": { - "version": 1.0 - } - }, - "xstorycloze_zh": { - "task": "xstorycloze_zh", - "group": "xstorycloze", - "dataset_path": "juletxara/xstory_cloze", - "dataset_name": "zh", - "training_split": "train", - "validation_split": "eval", - "doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}", - "doc_to_target": "{{answer_right_ending-1}}", - "doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}", - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "xstorycloze": "N/A", - "xstorycloze_ar": 1.0, - "xstorycloze_en": 1.0, - "xstorycloze_es": 1.0, - "xstorycloze_eu": 1.0, - "xstorycloze_hi": 1.0, - "xstorycloze_id": 1.0, - "xstorycloze_my": 1.0, - "xstorycloze_ru": 1.0, - "xstorycloze_sw": 1.0, - "xstorycloze_te": 1.0, - "xstorycloze_zh": 1.0 - }, - "n-shot": { - "xstorycloze": 0, - "xstorycloze_ar": 0, - "xstorycloze_en": 0, - "xstorycloze_es": 0, - "xstorycloze_eu": 0, - "xstorycloze_hi": 0, - "xstorycloze_id": 0, - "xstorycloze_my": 0, - "xstorycloze_ru": 0, - "xstorycloze_sw": 0, - "xstorycloze_te": 0, - "xstorycloze_zh": 0 - }, - "config": { - "model": "hf", - "model_args": "pretrained=togethercomputer/RedPajama-INCITE-7B-Base,dtype=bfloat16,trust_remote_code=True", - "batch_size": "auto", - "batch_sizes": [ - 4 - ], - "device": null, - "use_cache": null, - "limit": null, - "bootstrap_iters": 100000, - "gen_kwargs": null - }, - "git_hash": "2c0a875" -} \ No newline at end of file diff --git a/lm-eval-output/RedPajama-INCITE-7B-Base/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/RedPajama-INCITE-7B-Base/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log deleted file mode 100644 index c1a40f4fc90cdeb111ab57eb6a19247836ee56f3..0000000000000000000000000000000000000000 --- a/lm-eval-output/RedPajama-INCITE-7B-Base/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6e9f5ba42ffa2ea898c14805d192629b5e27ca22869b18fe497db1c273ad30d8 -size 57015 diff --git a/lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index c89db29f8831c05e450c98e3ae1d301719289331..0000000000000000000000000000000000000000 --- a/lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e7db16581994b54191b3fb5565ec9226fdb81757903fac634d148eb37ebcd4a0 -size 513604 diff --git a/lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index bf77332b1292bc5e7e112be21c06088f3d1b3bf7..0000000000000000000000000000000000000000 --- a/lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,248 +0,0 @@ -{ - "results": { - "xwinograd": { - "acc,none": 0.74331310406833, - "acc_stderr,none": 0.08408219267029617, - "alias": "xwinograd" - }, - "xwinograd_en": { - "acc,none": 0.8718279569892473, - "acc_stderr,none": 0.006934162057729827, - "alias": " - xwinograd_en" - }, - "xwinograd_fr": { - "acc,none": 0.6385542168674698, - "acc_stderr,none": 0.053053439348320096, - "alias": " - xwinograd_fr" - }, - "xwinograd_jp": { - "acc,none": 0.5620437956204379, - "acc_stderr,none": 0.016029414748731596, - "alias": " - xwinograd_jp" - }, - "xwinograd_pt": { - "acc,none": 0.6653992395437263, - "acc_stderr,none": 0.02915103415331038, - "alias": " - xwinograd_pt" - }, - "xwinograd_ru": { - "acc,none": 0.6222222222222222, - "acc_stderr,none": 0.0273606328610564, - "alias": " - xwinograd_ru" - }, - "xwinograd_zh": { - "acc,none": 0.628968253968254, - "acc_stderr,none": 0.02153951426767635, - "alias": " - xwinograd_zh" - } - }, - "groups": { - "xwinograd": { - "acc,none": 0.74331310406833, - "acc_stderr,none": 0.08408219267029617, - "alias": "xwinograd" - } - }, - "configs": { - "xwinograd_en": { - "task": "xwinograd_en", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "en", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_fr": { - "task": "xwinograd_fr", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "fr", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_jp": { - "task": "xwinograd_jp", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "jp", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_pt": { - "task": "xwinograd_pt", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "pt", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_ru": { - "task": "xwinograd_ru", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "ru", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_zh": { - "task": "xwinograd_zh", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "zh", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "xwinograd": "N/A", - "xwinograd_en": 1.0, - "xwinograd_fr": 1.0, - "xwinograd_jp": 1.0, - 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"acc,none": 0.0069, - "acc_stderr,none": 0.006602463150804194, + "acc,none": 0.007, + "acc_stderr,none": 0.006724488098523242, "alias": "arithmetic" }, "arithmetic_1dc": { - "acc,none": 0.005, - "acc_stderr,none": 0.0015775754727385474, + "acc,none": 0.0065, + "acc_stderr,none": 0.0017973564602277768, "alias": " - arithmetic_1dc" }, "arithmetic_2da": { @@ -16,8 +16,8 @@ "alias": " - arithmetic_2da" }, "arithmetic_2dm": { - "acc,none": 0.0295, - "acc_stderr,none": 0.0037844465933618916, + "acc,none": 0.029, + "acc_stderr,none": 0.0037532044004605246, "alias": " - arithmetic_2dm" }, "arithmetic_2ds": { @@ -58,8 +58,8 @@ }, "groups": { "arithmetic": { - "acc,none": 0.0069, - "acc_stderr,none": 0.006602463150804194, + "acc,none": 0.007, + "acc_stderr,none": 0.006724488098523242, "alias": "arithmetic" } }, @@ -364,13 +364,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/arithmetic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/arithmetic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 4466c24606845c1793dd0f99d4f8fa64d3b4b334..c447f419a73b682c70ad6205bda842e01660fbd1 100644 --- a/lm-eval-output/allenai/OLMo-7B/arithmetic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/arithmetic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:bc302e5d00e6873c97ee6f5549a0c1cb9f76a06956b6cb32d874a17c6b1e548b -size 32726 +oid sha256:336d5042f526e0b5a3e6045ddb2334d66ffc6ba7c4f85d38364256c924609891 +size 25619 diff --git a/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index d4dd7a6bb1959154025f7c87d8ec31819694252d..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4e36726446be44a4ca03fdd234a83b2cf7fb9884d27cb2ab737c41c9d9dae9f5 -size 571331 diff --git a/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index e5b0de5186b8e79336b8c87ef8d483960c22ed89..2bd3f1c94dbcdc533a930023a3c35678fe2119ae 100644 --- a/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -36,8 +36,8 @@ "alias": "arithmetic_2ds" }, "arithmetic_2dm": { - "acc,none": 0.0295, - "acc_stderr,none": 0.0037844465933618916, + "acc,none": 0.029, + "acc_stderr,none": 0.0037532044004605246, "alias": "arithmetic_2dm" }, "arithmetic_2da": { @@ -46,8 +46,8 @@ "alias": "arithmetic_2da" }, "arithmetic_1dc": { - "acc,none": 0.005, - "acc_stderr,none": 0.0015775754727385474, + "acc,none": 0.0065, + "acc_stderr,none": 0.0017973564602277768, "alias": "arithmetic_1dc" } }, @@ -350,13 +350,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 2f4d2965555bbbfbadc249d14551d9512dd68e07..723a36c37c0bdb403ba8b9db34472333afb2a3c4 100644 --- a/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:bf64ee5e732687e94dbcef3284174f1ce5468651d74df1c89e59d52fbbc17d0e -size 33636 +oid sha256:c280fce1e1826f134c773e5a830152245f71f8505f03d4c5cfcb4af0ff0f9df8 +size 21272 diff --git a/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 1d296a62ab4603ab4aed0fae3a6e50eda009e871..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8d9004ca282c30e0451d79151305ebe50933d491576bde59f97ec09f2d20999a -size 265321 diff --git a/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index e66cd979580bd8e5214bc4d0db2a78a2b2b5d8b0..867eefb505afe86a69608c01520a40e97a20c697 100644 --- a/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,8 +1,8 @@ { "results": { "asdiv": { - "acc,none": 0.016919739696312365, - "acc_stderr,none": 0.002686891250897643, + "acc,none": 0.015618221258134491, + "acc_stderr,none": 0.002583189883690767, "alias": "asdiv" } }, @@ -41,13 +41,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index feb4c1d5154af2b86f6ab4a36a354d553c0bb407..7980654b39d93cee66d43f456306312507d3697f 100644 --- a/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:5bee59ce6f91fa784a9ec22efa5da1a1a0a6720cb9c2a9459dd0ddeda079b8b5 -size 15826 +oid sha256:bc981690a7e19989d96bb07b4c91f750b1d9921eca7d50386cdc5233a531770c +size 16390 diff --git a/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index bbbde541dae610429f57bcf193ca326827575107..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:bd87668d838a678fe98acd570f4f888ebadc3a001ba22cf884b87023aceebbc5 -size 4244097 diff --git a/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index cb9e1b27989636a46e59969bc5984fa92d712d8d..8d69029a7054e2f62c93f4403720a49d881dcabf 100644 --- a/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,13 +1,13 @@ { "results": { "blimp": { - "acc,none": 0.8318358208955224, - "acc_stderr,none": 0.15243408065668698, + "acc,none": 0.8316865671641791, + "acc_stderr,none": 0.1603584899107365, "alias": "blimp" }, "blimp_adjunct_island": { - "acc,none": 0.902, - "acc_stderr,none": 0.009406619184621223, + "acc,none": 0.904, + "acc_stderr,none": 0.009320454434783215, "alias": " - blimp_adjunct_island" }, "blimp_anaphor_gender_agreement": { @@ -16,23 +16,23 @@ "alias": " - blimp_anaphor_gender_agreement" }, "blimp_anaphor_number_agreement": { - "acc,none": 0.992, - "acc_stderr,none": 0.0028185003005045057, + "acc,none": 0.994, + "acc_stderr,none": 0.0024433521993298428, "alias": " - blimp_anaphor_number_agreement" }, "blimp_animate_subject_passive": { - "acc,none": 0.809, - "acc_stderr,none": 0.012436787112179491, + "acc,none": 0.807, + "acc_stderr,none": 0.012486268734370145, "alias": " - blimp_animate_subject_passive" }, "blimp_animate_subject_trans": { - "acc,none": 0.911, - "acc_stderr,none": 0.009008893392651514, + "acc,none": 0.913, + "acc_stderr,none": 0.008916866630745918, "alias": " - blimp_animate_subject_trans" }, "blimp_causative": { - "acc,none": 0.743, - "acc_stderr,none": 0.013825416526895047, + "acc,none": 0.728, + "acc_stderr,none": 0.014078856992462623, "alias": " - blimp_causative" }, "blimp_complex_NP_island": { @@ -41,113 +41,113 @@ "alias": " - blimp_complex_NP_island" }, "blimp_coordinate_structure_constraint_complex_left_branch": { - "acc,none": 0.821, - "acc_stderr,none": 0.012128730605719113, + "acc,none": 0.82, + "acc_stderr,none": 0.012155153135511949, "alias": " - blimp_coordinate_structure_constraint_complex_left_branch" }, "blimp_coordinate_structure_constraint_object_extraction": { - "acc,none": 0.889, - "acc_stderr,none": 0.009938701010583726, + "acc,none": 0.891, + "acc_stderr,none": 0.009859828407037188, "alias": " - blimp_coordinate_structure_constraint_object_extraction" }, "blimp_determiner_noun_agreement_1": { "acc,none": 0.986, - "acc_stderr,none": 0.0037172325482565916, + "acc_stderr,none": 0.0037172325482565877, "alias": " - blimp_determiner_noun_agreement_1" }, "blimp_determiner_noun_agreement_2": { - "acc,none": 0.975, - "acc_stderr,none": 0.0049395748196984545, + "acc,none": 0.973, + "acc_stderr,none": 0.005128089049275288, "alias": " - blimp_determiner_noun_agreement_2" }, "blimp_determiner_noun_agreement_irregular_1": { - "acc,none": 0.943, - "acc_stderr,none": 0.0073351758537068355, + "acc,none": 0.933, + "acc_stderr,none": 0.00791034598317755, "alias": " - blimp_determiner_noun_agreement_irregular_1" }, "blimp_determiner_noun_agreement_irregular_2": { - "acc,none": 0.951, - "acc_stderr,none": 0.006829761756140914, + "acc,none": 0.954, + "acc_stderr,none": 0.006627814717380719, "alias": " - blimp_determiner_noun_agreement_irregular_2" }, "blimp_determiner_noun_agreement_with_adj_2": { - "acc,none": 0.948, - "acc_stderr,none": 0.007024624213817146, + "acc,none": 0.95, + "acc_stderr,none": 0.0068954729748979, "alias": " - blimp_determiner_noun_agreement_with_adj_2" }, "blimp_determiner_noun_agreement_with_adj_irregular_1": { - "acc,none": 0.882, - "acc_stderr,none": 0.01020686926438179, + "acc,none": 0.879, + "acc_stderr,none": 0.010318210380946088, "alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1" }, "blimp_determiner_noun_agreement_with_adj_irregular_2": { - "acc,none": 0.929, - "acc_stderr,none": 0.008125578442487916, + "acc,none": 0.931, + "acc_stderr,none": 0.00801893405031516, "alias": " - blimp_determiner_noun_agreement_with_adj_irregular_2" }, "blimp_determiner_noun_agreement_with_adjective_1": { - "acc,none": 0.971, - "acc_stderr,none": 0.005309160685756979, + "acc,none": 0.973, + "acc_stderr,none": 0.00512808904927529, "alias": " - blimp_determiner_noun_agreement_with_adjective_1" }, "blimp_distractor_agreement_relational_noun": { - "acc,none": 0.919, - "acc_stderr,none": 0.008632121032139986, + "acc,none": 0.923, + "acc_stderr,none": 0.008434580140240648, "alias": " - blimp_distractor_agreement_relational_noun" }, "blimp_distractor_agreement_relative_clause": { - "acc,none": 0.705, - "acc_stderr,none": 0.014428554438445523, + "acc,none": 0.717, + "acc_stderr,none": 0.014251810906481728, "alias": " - blimp_distractor_agreement_relative_clause" }, "blimp_drop_argument": { - "acc,none": 0.746, - "acc_stderr,none": 0.013772206565168537, + "acc,none": 0.747, + "acc_stderr,none": 0.01375427861358708, "alias": " - blimp_drop_argument" }, "blimp_ellipsis_n_bar_1": { "acc,none": 0.812, - "acc_stderr,none": 0.012361586015103749, + "acc_stderr,none": 0.012361586015103744, "alias": " - blimp_ellipsis_n_bar_1" }, "blimp_ellipsis_n_bar_2": { - "acc,none": 0.948, - "acc_stderr,none": 0.0070246242138171325, + "acc,none": 0.949, + "acc_stderr,none": 0.006960420062571421, "alias": " - blimp_ellipsis_n_bar_2" }, "blimp_existential_there_object_raising": { - "acc,none": 0.859, - "acc_stderr,none": 0.011010914595992438, + "acc,none": 0.864, + "acc_stderr,none": 0.010845350230472988, "alias": " - blimp_existential_there_object_raising" }, "blimp_existential_there_quantifiers_1": { - "acc,none": 0.984, - "acc_stderr,none": 0.0039698563903194225, + "acc,none": 0.985, + "acc_stderr,none": 0.0038457495745030067, "alias": " - blimp_existential_there_quantifiers_1" }, "blimp_existential_there_quantifiers_2": { "acc,none": 0.377, - "acc_stderr,none": 0.01533317012577985, + "acc_stderr,none": 0.015333170125779847, "alias": " - blimp_existential_there_quantifiers_2" }, "blimp_existential_there_subject_raising": { - "acc,none": 0.909, - "acc_stderr,none": 0.009099549538400252, + "acc,none": 0.911, + "acc_stderr,none": 0.009008893392651523, "alias": " - blimp_existential_there_subject_raising" }, "blimp_expletive_it_object_raising": { - "acc,none": 0.827, - "acc_stderr,none": 0.011967214137559929, + "acc,none": 0.826, + "acc_stderr,none": 0.01199449323097343, "alias": " - blimp_expletive_it_object_raising" }, "blimp_inchoative": { - "acc,none": 0.678, - "acc_stderr,none": 0.014782913600996662, + "acc,none": 0.68, + "acc_stderr,none": 0.014758652303574874, "alias": " - blimp_inchoative" }, "blimp_intransitive": { - "acc,none": 0.8, - "acc_stderr,none": 0.012655439943366651, + "acc,none": 0.791, + "acc_stderr,none": 0.012864077288499321, "alias": " - blimp_intransitive" }, "blimp_irregular_past_participle_adjectives": { @@ -156,68 +156,68 @@ "alias": " - blimp_irregular_past_participle_adjectives" }, "blimp_irregular_past_participle_verbs": { - "acc,none": 0.912, - "acc_stderr,none": 0.008963053962592081, + "acc,none": 0.906, + "acc_stderr,none": 0.009233052000787736, "alias": " - blimp_irregular_past_participle_verbs" }, "blimp_irregular_plural_subject_verb_agreement_1": { - "acc,none": 0.93, - "acc_stderr,none": 0.008072494358323508, + "acc,none": 0.928, + "acc_stderr,none": 0.008178195576218681, "alias": " - blimp_irregular_plural_subject_verb_agreement_1" }, "blimp_irregular_plural_subject_verb_agreement_2": { - "acc,none": 0.937, - "acc_stderr,none": 0.007687007876286417, + "acc,none": 0.932, + "acc_stderr,none": 0.007964887911291603, "alias": " - blimp_irregular_plural_subject_verb_agreement_2" }, "blimp_left_branch_island_echo_question": { - "acc,none": 0.633, - "acc_stderr,none": 0.015249378464171745, + "acc,none": 0.648, + "acc_stderr,none": 0.015110404505648661, "alias": " - blimp_left_branch_island_echo_question" }, "blimp_left_branch_island_simple_question": { - "acc,none": 0.909, - "acc_stderr,none": 0.009099549538400227, + "acc,none": 0.911, + "acc_stderr,none": 0.009008893392651526, "alias": " - blimp_left_branch_island_simple_question" }, "blimp_matrix_question_npi_licensor_present": { - "acc,none": 0.617, - "acc_stderr,none": 0.015380102325652713, + "acc,none": 0.607, + "acc_stderr,none": 0.015452824654081496, "alias": " - blimp_matrix_question_npi_licensor_present" }, "blimp_npi_present_1": { - "acc,none": 0.671, - "acc_stderr,none": 0.014865395385928362, + "acc,none": 0.674, + "acc_stderr,none": 0.014830507204541038, "alias": " - blimp_npi_present_1" }, "blimp_npi_present_2": { - "acc,none": 0.735, - "acc_stderr,none": 0.013963164754809953, + "acc,none": 0.73, + "acc_stderr,none": 0.014046255632633915, "alias": " - blimp_npi_present_2" }, "blimp_only_npi_licensor_present": { - "acc,none": 0.971, - "acc_stderr,none": 0.005309160685756993, + "acc,none": 0.974, + "acc_stderr,none": 0.005034813735318216, "alias": " - blimp_only_npi_licensor_present" }, "blimp_only_npi_scope": { - "acc,none": 0.678, - "acc_stderr,none": 0.014782913600996685, + "acc,none": 0.706, + "acc_stderr,none": 0.01441429054000822, "alias": " - blimp_only_npi_scope" }, "blimp_passive_1": { - "acc,none": 0.897, - "acc_stderr,none": 0.0096168333396958, + "acc,none": 0.895, + "acc_stderr,none": 0.009698921026024971, "alias": " - blimp_passive_1" }, "blimp_passive_2": { - "acc,none": 0.909, - "acc_stderr,none": 0.009099549538400236, + "acc,none": 0.906, + "acc_stderr,none": 0.009233052000787728, "alias": " - blimp_passive_2" }, "blimp_principle_A_c_command": { - "acc,none": 0.74, - "acc_stderr,none": 0.013877773329774164, + "acc,none": 0.741, + "acc_stderr,none": 0.01386041525752791, "alias": " - blimp_principle_A_c_command" }, "blimp_principle_A_case_1": { @@ -226,23 +226,23 @@ "alias": " - blimp_principle_A_case_1" }, "blimp_principle_A_case_2": { - "acc,none": 0.967, - "acc_stderr,none": 0.0056518088204523705, + "acc,none": 0.963, + "acc_stderr,none": 0.005972157622389646, "alias": " - blimp_principle_A_case_2" }, "blimp_principle_A_domain_1": { - "acc,none": 0.998, - "acc_stderr,none": 0.0014135055705578, + "acc,none": 0.999, + "acc_stderr,none": 0.0010000000000000124, "alias": " - blimp_principle_A_domain_1" }, "blimp_principle_A_domain_2": { - "acc,none": 0.84, - "acc_stderr,none": 0.011598902298689004, + "acc,none": 0.835, + "acc_stderr,none": 0.011743632866916164, "alias": " - blimp_principle_A_domain_2" }, "blimp_principle_A_domain_3": { - "acc,none": 0.736, - "acc_stderr,none": 0.013946271849440467, + "acc,none": 0.739, + "acc_stderr,none": 0.013895037677965136, "alias": " - blimp_principle_A_domain_3" }, "blimp_principle_A_reconstruction": { @@ -251,13 +251,13 @@ "alias": " - blimp_principle_A_reconstruction" }, "blimp_regular_plural_subject_verb_agreement_1": { - "acc,none": 0.967, - "acc_stderr,none": 0.005651808820452372, + "acc,none": 0.965, + "acc_stderr,none": 0.005814534272734963, "alias": " - blimp_regular_plural_subject_verb_agreement_1" }, "blimp_regular_plural_subject_verb_agreement_2": { - "acc,none": 0.935, - "acc_stderr,none": 0.007799733061832028, + "acc,none": 0.931, + "acc_stderr,none": 0.008018934050315146, "alias": " - blimp_regular_plural_subject_verb_agreement_2" }, "blimp_sentential_negation_npi_licensor_present": { @@ -266,73 +266,73 @@ "alias": " - blimp_sentential_negation_npi_licensor_present" }, "blimp_sentential_negation_npi_scope": { - "acc,none": 0.761, - "acc_stderr,none": 0.013493000446937591, + "acc,none": 0.759, + "acc_stderr,none": 0.013531522534515419, "alias": " - blimp_sentential_negation_npi_scope" }, "blimp_sentential_subject_island": { - "acc,none": 0.562, - "acc_stderr,none": 0.01569721001969469, + "acc,none": 0.559, + "acc_stderr,none": 0.01570877989424268, "alias": " - blimp_sentential_subject_island" }, "blimp_superlative_quantifiers_1": { - "acc,none": 0.897, - "acc_stderr,none": 0.009616833339695784, + "acc,none": 0.892, + "acc_stderr,none": 0.009820001651345714, "alias": " - blimp_superlative_quantifiers_1" }, "blimp_superlative_quantifiers_2": { - "acc,none": 0.881, - "acc_stderr,none": 0.010244215145336666, + "acc,none": 0.877, + "acc_stderr,none": 0.010391293421849879, "alias": " - blimp_superlative_quantifiers_2" }, "blimp_tough_vs_raising_1": { - "acc,none": 0.669, - "acc_stderr,none": 0.014888272588203934, + "acc,none": 0.663, + "acc_stderr,none": 0.014955087918653603, "alias": " - blimp_tough_vs_raising_1" }, "blimp_tough_vs_raising_2": { - "acc,none": 0.856, - "acc_stderr,none": 0.01110798754893915, + "acc,none": 0.853, + "acc_stderr,none": 0.011203415395160335, "alias": " - blimp_tough_vs_raising_2" }, "blimp_transitive": { - "acc,none": 0.862, - "acc_stderr,none": 0.010912152632504378, + "acc,none": 0.867, + "acc_stderr,none": 0.010743669132397346, "alias": " - blimp_transitive" }, "blimp_wh_island": { - "acc,none": 0.879, - "acc_stderr,none": 0.010318210380946085, + "acc,none": 0.877, + "acc_stderr,none": 0.010391293421849877, "alias": " - blimp_wh_island" }, "blimp_wh_questions_object_gap": { - "acc,none": 0.84, - "acc_stderr,none": 0.011598902298689004, + "acc,none": 0.841, + "acc_stderr,none": 0.011569479368271296, "alias": " - blimp_wh_questions_object_gap" }, "blimp_wh_questions_subject_gap": { - "acc,none": 0.931, - "acc_stderr,none": 0.00801893405031516, + "acc,none": 0.933, + "acc_stderr,none": 0.007910345983177547, "alias": " - blimp_wh_questions_subject_gap" }, "blimp_wh_questions_subject_gap_long_distance": { - "acc,none": 0.919, - "acc_stderr,none": 0.008632121032139969, + "acc,none": 0.922, + "acc_stderr,none": 0.008484573530118588, "alias": " - blimp_wh_questions_subject_gap_long_distance" }, "blimp_wh_vs_that_no_gap": { - "acc,none": 0.973, - "acc_stderr,none": 0.005128089049275289, + "acc,none": 0.974, + "acc_stderr,none": 0.0050348137353182325, "alias": " - blimp_wh_vs_that_no_gap" }, "blimp_wh_vs_that_no_gap_long_distance": { - "acc,none": 0.961, - "acc_stderr,none": 0.006125072776426141, + "acc,none": 0.962, + "acc_stderr,none": 0.006049181150584946, "alias": " - blimp_wh_vs_that_no_gap_long_distance" }, "blimp_wh_vs_that_with_gap": { - "acc,none": 0.349, - "acc_stderr,none": 0.015080663991563098, + "acc,none": 0.341, + "acc_stderr,none": 0.0149981313484027, "alias": " - blimp_wh_vs_that_with_gap" }, "blimp_wh_vs_that_with_gap_long_distance": { @@ -343,8 +343,8 @@ }, "groups": { "blimp": { - "acc,none": 0.8318358208955224, - "acc_stderr,none": 0.15243408065668698, + "acc,none": 0.8316865671641791, + "acc_stderr,none": 0.1603584899107365, "alias": "blimp" } }, @@ -2235,13 +2235,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index e2c5072c30ef1b04dfe976ae4dc2c43dd9eeb3d0..4ec8d33f54fb22f8288116601ec34a59193bd5dc 100644 --- a/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:e03fbfd3dd884d95a74c39c0d75f2436728da1a89c09807a16b28dab309ec385 -size 355468 +oid sha256:2a3b311b45000c90305578cb19f065bec59f430e131dab0963128cb73e9786b4 +size 294489 diff --git a/lm-eval-output/allenai/OLMo-7B/boolq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/boolq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index e45f8f4578cd0c221372edfe2133615999adb232..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/boolq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7d9982cba484eea117460519dd137bac296cc134391704e329d1546044840296 -size 1134661 diff --git a/lm-eval-output/allenai/OLMo-7B/boolq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/boolq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index 284f8f4e7dcd1018e6a257d42eab216353ba8ca8..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/boolq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,60 +0,0 @@ -{ - 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}, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_advanced_mathematics": { - "task": "ceval-valid_advanced_mathematics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "advanced_mathematics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高等数学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_art_studies": { - "task": "ceval-valid_art_studies", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "art_studies", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于艺术学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_basic_medicine": { - "task": "ceval-valid_basic_medicine", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "basic_medicine", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于基础医学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_business_administration": { - "task": "ceval-valid_business_administration", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "business_administration", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于工商管理的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_chinese_language_and_literature": { - "task": "ceval-valid_chinese_language_and_literature", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "chinese_language_and_literature", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于中国语言文学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_civil_servant": { - "task": "ceval-valid_civil_servant", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "civil_servant", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于公务员的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_clinical_medicine": { - "task": "ceval-valid_clinical_medicine", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "clinical_medicine", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于临床医学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_college_chemistry": { - "task": "ceval-valid_college_chemistry", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "college_chemistry", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于大学化学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_college_economics": { - "task": "ceval-valid_college_economics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "college_economics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于大学经济学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_college_physics": { - "task": "ceval-valid_college_physics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "college_physics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于大学物理的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_college_programming": { - "task": "ceval-valid_college_programming", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "college_programming", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于大学编程的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_computer_architecture": { - "task": "ceval-valid_computer_architecture", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "computer_architecture", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于计算机组成的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_computer_network": { - "task": "ceval-valid_computer_network", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "computer_network", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于计算机网络的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_discrete_mathematics": { - "task": "ceval-valid_discrete_mathematics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "discrete_mathematics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于离散数学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_education_science": { - "task": "ceval-valid_education_science", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "education_science", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于教育学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_electrical_engineer": { - "task": "ceval-valid_electrical_engineer", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "electrical_engineer", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于注册电气工程师的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_environmental_impact_assessment_engineer": { - "task": "ceval-valid_environmental_impact_assessment_engineer", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "environmental_impact_assessment_engineer", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于环境影响评价工程师的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_fire_engineer": { - "task": "ceval-valid_fire_engineer", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "fire_engineer", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于注册消防工程师的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_high_school_biology": { - "task": "ceval-valid_high_school_biology", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "high_school_biology", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高中生物的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_high_school_chemistry": { - "task": "ceval-valid_high_school_chemistry", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "high_school_chemistry", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高中化学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_high_school_chinese": { - "task": "ceval-valid_high_school_chinese", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "high_school_chinese", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高中语文的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_high_school_geography": { - "task": "ceval-valid_high_school_geography", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "high_school_geography", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高中地理的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_high_school_history": { - "task": "ceval-valid_high_school_history", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "high_school_history", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高中历史的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_high_school_mathematics": { - "task": "ceval-valid_high_school_mathematics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "high_school_mathematics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高中数学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_high_school_physics": { - "task": "ceval-valid_high_school_physics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "high_school_physics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高中物理的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_high_school_politics": { - "task": "ceval-valid_high_school_politics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "high_school_politics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于高中政治的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_ideological_and_moral_cultivation": { - "task": "ceval-valid_ideological_and_moral_cultivation", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "ideological_and_moral_cultivation", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于思想道德修养与法律基础的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_law": { - "task": "ceval-valid_law", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "law", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于法学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_legal_professional": { - "task": "ceval-valid_legal_professional", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "legal_professional", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于法律职业资格的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_logic": { - "task": "ceval-valid_logic", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "logic", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于逻辑学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_mao_zedong_thought": { - "task": "ceval-valid_mao_zedong_thought", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "mao_zedong_thought", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于毛泽东思想和中国特色社会主义理论体系概论的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_marxism": { - "task": "ceval-valid_marxism", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "marxism", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于马克思主义基本原理的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_metrology_engineer": { - "task": "ceval-valid_metrology_engineer", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "metrology_engineer", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于注册计量师的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_middle_school_biology": { - "task": "ceval-valid_middle_school_biology", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "middle_school_biology", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于初中生物的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_middle_school_chemistry": { - "task": "ceval-valid_middle_school_chemistry", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "middle_school_chemistry", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于初中化学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_middle_school_geography": { - "task": "ceval-valid_middle_school_geography", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "middle_school_geography", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于初中地理的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_middle_school_history": { - "task": "ceval-valid_middle_school_history", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "middle_school_history", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于初中历史的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_middle_school_mathematics": { - "task": "ceval-valid_middle_school_mathematics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "middle_school_mathematics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于初中数学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_middle_school_physics": { - "task": "ceval-valid_middle_school_physics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "middle_school_physics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于初中物理的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_middle_school_politics": { - "task": "ceval-valid_middle_school_politics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "middle_school_politics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于初中政治的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_modern_chinese_history": { - "task": "ceval-valid_modern_chinese_history", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "modern_chinese_history", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于近代史纲要的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_operating_system": { - "task": "ceval-valid_operating_system", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "operating_system", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于操作系统的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_physician": { - "task": "ceval-valid_physician", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "physician", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于医师资格的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_plant_protection": { - "task": "ceval-valid_plant_protection", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "plant_protection", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于植物保护的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_probability_and_statistics": { - "task": "ceval-valid_probability_and_statistics", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "probability_and_statistics", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于概率统计的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_professional_tour_guide": { - "task": "ceval-valid_professional_tour_guide", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "professional_tour_guide", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于导游资格的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_sports_science": { - "task": "ceval-valid_sports_science", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "sports_science", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于体育学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_tax_accountant": { - "task": "ceval-valid_tax_accountant", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "tax_accountant", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于税务师的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_teacher_qualification": { - "task": "ceval-valid_teacher_qualification", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "teacher_qualification", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于教师资格的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_urban_and_rural_planner": { - "task": "ceval-valid_urban_and_rural_planner", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "urban_and_rural_planner", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于注册城乡规划师的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "ceval-valid_veterinary_medicine": { - "task": "ceval-valid_veterinary_medicine", - "group": "ceval-valid", - "dataset_path": "ceval/ceval-exam", - "dataset_name": "veterinary_medicine", - "validation_split": "val", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案：", - "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "以下是中国关于兽医学的单项选择题，请选出其中的正确答案。\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "ceval-valid": "N/A", - "ceval-valid_accountant": 1.0, - "ceval-valid_advanced_mathematics": 1.0, - "ceval-valid_art_studies": 1.0, - "ceval-valid_basic_medicine": 1.0, - "ceval-valid_business_administration": 1.0, - "ceval-valid_chinese_language_and_literature": 1.0, - "ceval-valid_civil_servant": 1.0, - "ceval-valid_clinical_medicine": 1.0, - "ceval-valid_college_chemistry": 1.0, - "ceval-valid_college_economics": 1.0, - "ceval-valid_college_physics": 1.0, - "ceval-valid_college_programming": 1.0, - "ceval-valid_computer_architecture": 1.0, - "ceval-valid_computer_network": 1.0, - 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cmmlu_elementary_chinese" }, "cmmlu_elementary_commonsense": { @@ -218,10 +218,10 @@ "alias": " - cmmlu_elementary_commonsense" }, "cmmlu_elementary_information_and_technology": { - "acc,none": 0.27310924369747897, - "acc_stderr,none": 0.028942004040998167, - "acc_norm,none": 0.27310924369747897, - "acc_norm_stderr,none": 0.028942004040998167, + "acc,none": 0.24369747899159663, + "acc_stderr,none": 0.02788682807838058, + "acc_norm,none": 0.24369747899159663, + "acc_norm_stderr,none": 0.02788682807838058, "alias": " - cmmlu_elementary_information_and_technology" }, "cmmlu_elementary_mathematics": { @@ -232,66 +232,66 @@ "alias": " - cmmlu_elementary_mathematics" }, "cmmlu_ethnology": { - "acc,none": 0.2740740740740741, - "acc_stderr,none": 0.03853254836552003, - "acc_norm,none": 0.2740740740740741, - "acc_norm_stderr,none": 0.03853254836552003, + "acc,none": 0.2518518518518518, + "acc_stderr,none": 0.037498507091740234, + "acc_norm,none": 0.2518518518518518, + "acc_norm_stderr,none": 0.037498507091740234, "alias": " - 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"batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 8 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 8bed7b389cdfb38374eec20787acb4b517adaaab..cdfe46ac8c67244672a2ce36f9fa02583686a426 100644 --- a/lm-eval-output/allenai/OLMo-7B/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:3969b9c5b5f77b7d2db2d31bce13b271b0b55f53de1c06b12e1484a260cc5ea9 -size 129703 +oid sha256:cc69f38ccd1ff5eed2fe9dbdfb6e94b5d94c6c9d0c737ef0a4f268f3b0b4733c +size 111568 diff --git a/lm-eval-output/allenai/OLMo-7B/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 6cd963bd0d133e9da91e578bd7360be26eaf1923..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3862814204891a844fdf5337965d761f05144ba67d8d95ab5b6cfa8973e8bf9e -size 59222 diff --git a/lm-eval-output/allenai/OLMo-7B/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index ed80aa4d00b5b3584ebe8074971411fa1d9d0787..6becb4d4ba0d1273513195c8f743b141272891e9 100644 --- a/lm-eval-output/allenai/OLMo-7B/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,8 +1,8 @@ { "results": { "cola": { - 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"git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/freebase/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/freebase/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index af85892841655944edcc33f30beb4defd3579a33..5937b16bbcbcf254855a65138a419f1e1e3a07f3 100644 --- a/lm-eval-output/allenai/OLMo-7B/freebase/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/freebase/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:bee68e93e72fc24ff11e7f634462aff2aa17ca4f7e8474b5cfb8bafdd028c6a8 -size 13684 +oid sha256:8d914584ef70ee0864d3088a1baf759abdc27445c582b251bfe3119a8d31f6f4 +size 12737 diff --git a/lm-eval-output/allenai/OLMo-7B/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 0ee34ef548124b62a83169c9c70b1df7ce8e04d2..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ae30d40c725bd76623e64721101a1b5a6f2f9e7c9c3a2795d4f281e450f0df8a -size 8108576 diff --git a/lm-eval-output/allenai/OLMo-7B/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 72d3f6d79b2cf83e56104ac5a4cd7556af3687b3..c3446df571d26b302da80bdd475362de366bcf7c 100644 --- a/lm-eval-output/allenai/OLMo-7B/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,27 +1,27 @@ { "results": { "glue": { - 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mnli_mismatch" }, "mrpc": { @@ -32,25 +32,25 @@ "alias": " - mrpc" }, "qnli": { - "acc,none": 0.4964305326743548, - "acc_stderr,none": 0.006765238152075668, + "acc,none": 0.49697968149368477, + "acc_stderr,none": 0.0067652871181183415, "alias": " - qnli" }, "qqp": { - "acc,none": 0.5348998268612416, - "acc_stderr,none": 0.0024806356431606442, - "f1,none": 0.44540789240842327, - "f1_stderr,none": 0.0033657259190706915, + "acc,none": 0.5346772198862231, + "acc_stderr,none": 0.002480712860000902, + "f1,none": 0.4411039481892992, + "f1_stderr,none": 0.003378627814144618, "alias": " - qqp" }, "rte": { - "acc,none": 0.5342960288808665, - "acc_stderr,none": 0.030025579819366422, + "acc,none": 0.5451263537906137, + "acc_stderr,none": 0.029973636495415252, "alias": " - rte" }, "sst2": { - "acc,none": 0.5642201834862385, - "acc_stderr,none": 0.016801528278889092, + "acc,none": 0.573394495412844, + "acc_stderr,none": 0.016758336618033463, "alias": " - sst2" }, "wnli": { @@ -61,12 +61,12 @@ }, "groups": { "glue": { - 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kmmlu_aviation_engineering_and_maintenance" }, "kmmlu_biology": { - "acc,none": 0.261, - "acc_stderr,none": 0.013895037677965131, - "acc_norm,none": 0.261, - "acc_norm_stderr,none": 0.013895037677965131, + "acc,none": 0.26, + "acc_stderr,none": 0.013877773329774164, + "acc_norm,none": 0.26, + "acc_norm_stderr,none": 0.013877773329774164, "alias": " - kmmlu_biology" }, "kmmlu_chemical_engineering": { - "acc,none": 0.276, - "acc_stderr,none": 0.01414298497574067, - "acc_norm,none": 0.276, - "acc_norm_stderr,none": 0.01414298497574067, + "acc,none": 0.27, + "acc_stderr,none": 0.014046255632633916, + "acc_norm,none": 0.27, + "acc_norm_stderr,none": 0.014046255632633916, "alias": " - kmmlu_chemical_engineering" }, "kmmlu_chemistry": { - "acc,none": 0.27166666666666667, - "acc_stderr,none": 0.018174809149686423, - "acc_norm,none": 0.27166666666666667, - "acc_norm_stderr,none": 0.018174809149686423, + "acc,none": 0.26666666666666666, + "acc_stderr,none": 0.01806848202433441, + "acc_norm,none": 0.26666666666666666, + "acc_norm_stderr,none": 0.01806848202433441, "alias": " - 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kmmlu_construction" }, "kmmlu_criminal_law": { @@ -78,45 +78,45 @@ "alias": " - kmmlu_criminal_law" }, "kmmlu_ecology": { - "acc,none": 0.27, - "acc_stderr,none": 0.014046255632633913, - "acc_norm,none": 0.27, - "acc_norm_stderr,none": 0.014046255632633913, + "acc,none": 0.276, + "acc_stderr,none": 0.014142984975740663, + "acc_norm,none": 0.276, + "acc_norm_stderr,none": 0.014142984975740663, "alias": " - kmmlu_ecology" }, "kmmlu_economics": { - "acc,none": 0.2076923076923077, - "acc_stderr,none": 0.03571595663393523, - "acc_norm,none": 0.2076923076923077, - "acc_norm_stderr,none": 0.03571595663393523, + "acc,none": 0.2230769230769231, + "acc_stderr,none": 0.03665400868201044, + "acc_norm,none": 0.2230769230769231, + "acc_norm_stderr,none": 0.03665400868201044, "alias": " - kmmlu_economics" }, "kmmlu_education": { - "acc,none": 0.24, - "acc_stderr,none": 0.042923469599092816, - "acc_norm,none": 0.24, - "acc_norm_stderr,none": 0.042923469599092816, + "acc,none": 0.23, + "acc_stderr,none": 0.04229525846816505, + "acc_norm,none": 0.23, + "acc_norm_stderr,none": 0.04229525846816505, "alias": " - 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kmmlu_energy_management" }, "kmmlu_environmental_science": { @@ -127,31 +127,31 @@ "alias": " - kmmlu_environmental_science" }, "kmmlu_fashion": { - "acc,none": 0.265, - "acc_stderr,none": 0.013963164754809949, - "acc_norm,none": 0.265, - "acc_norm_stderr,none": 0.013963164754809949, + "acc,none": 0.261, + "acc_stderr,none": 0.01389503767796512, + "acc_norm,none": 0.261, + "acc_norm_stderr,none": 0.01389503767796512, "alias": " - kmmlu_fashion" }, "kmmlu_food_processing": { - "acc,none": 0.243, - "acc_stderr,none": 0.013569640199177434, - "acc_norm,none": 0.243, - "acc_norm_stderr,none": 0.013569640199177434, + "acc,none": 0.239, + "acc_stderr,none": 0.013493000446937587, + "acc_norm,none": 0.239, + "acc_norm_stderr,none": 0.013493000446937587, "alias": " - kmmlu_food_processing" }, "kmmlu_gas_technology_and_engineering": { - "acc,none": 0.272, - "acc_stderr,none": 0.014078856992462611, - "acc_norm,none": 0.272, - "acc_norm_stderr,none": 0.014078856992462611, + "acc,none": 0.268, + "acc_stderr,none": 0.014013292702729482, + "acc_norm,none": 0.268, + "acc_norm_stderr,none": 0.014013292702729482, "alias": " - 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kmmlu_information_technology" }, "kmmlu_interior_architecture_and_design": { - "acc,none": 0.286, - "acc_stderr,none": 0.01429714686251791, - "acc_norm,none": 0.286, - "acc_norm_stderr,none": 0.01429714686251791, + "acc,none": 0.29, + "acc_stderr,none": 0.014356395999905694, + "acc_norm,none": 0.29, + "acc_norm_stderr,none": 0.014356395999905694, "alias": " - kmmlu_interior_architecture_and_design" }, "kmmlu_law": { - "acc,none": 0.255, - "acc_stderr,none": 0.013790038620872828, - "acc_norm,none": 0.255, - "acc_norm_stderr,none": 0.013790038620872828, + "acc,none": 0.257, + "acc_stderr,none": 0.013825416526895031, + "acc_norm,none": 0.257, + "acc_norm_stderr,none": 0.013825416526895031, "alias": " - kmmlu_law" }, "kmmlu_machine_design_and_manufacturing": { - "acc,none": 0.25, - "acc_stderr,none": 0.013699915608779773, - "acc_norm,none": 0.25, - "acc_norm_stderr,none": 0.013699915608779773, + "acc,none": 0.254, + "acc_stderr,none": 0.013772206565168543, + "acc_norm,none": 0.254, + "acc_norm_stderr,none": 0.013772206565168543, "alias": " - kmmlu_machine_design_and_manufacturing" }, "kmmlu_management": { - "acc,none": 0.277, - "acc_stderr,none": 0.014158794845306265, - "acc_norm,none": 0.277, - "acc_norm_stderr,none": 0.014158794845306265, + "acc,none": 0.274, + "acc_stderr,none": 0.01411109928825958, + "acc_norm,none": 0.274, + "acc_norm_stderr,none": 0.01411109928825958, "alias": " - kmmlu_management" }, "kmmlu_maritime_engineering": { - "acc,none": 0.23333333333333334, - "acc_stderr,none": 0.01728137411493407, - "acc_norm,none": 0.23333333333333334, - "acc_norm_stderr,none": 0.01728137411493407, + "acc,none": 0.23666666666666666, + "acc_stderr,none": 0.01736649795856464, + "acc_norm,none": 0.23666666666666666, + "acc_norm_stderr,none": 0.01736649795856464, "alias": " - kmmlu_maritime_engineering" }, "kmmlu_marketing": { - "acc,none": 0.3, - "acc_stderr,none": 0.014498627873361428, - "acc_norm,none": 0.3, - "acc_norm_stderr,none": 0.014498627873361428, + "acc,none": 0.293, + "acc_stderr,none": 0.014399942998441271, + "acc_norm,none": 0.293, + "acc_norm_stderr,none": 0.014399942998441271, "alias": " - kmmlu_marketing" }, "kmmlu_materials_engineering": { - "acc,none": 0.235, - "acc_stderr,none": 0.013414729030247124, - "acc_norm,none": 0.235, - "acc_norm_stderr,none": 0.013414729030247124, + "acc,none": 0.234, + "acc_stderr,none": 0.01339490288966001, + "acc_norm,none": 0.234, + "acc_norm_stderr,none": 0.01339490288966001, "alias": " - kmmlu_materials_engineering" }, "kmmlu_mechanical_engineering": { - "acc,none": 0.268, - "acc_stderr,none": 0.014013292702729493, - "acc_norm,none": 0.268, - "acc_norm_stderr,none": 0.014013292702729493, + "acc,none": 0.269, + "acc_stderr,none": 0.014029819522568193, + "acc_norm,none": 0.269, + "acc_norm_stderr,none": 0.014029819522568193, "alias": " - kmmlu_mechanical_engineering" }, "kmmlu_nondestructive_testing": { - "acc,none": 0.233, - "acc_stderr,none": 0.013374972519220072, - "acc_norm,none": 0.233, - "acc_norm_stderr,none": 0.013374972519220072, + "acc,none": 0.229, + "acc_stderr,none": 0.013294199326613595, + "acc_norm,none": 0.229, + "acc_norm_stderr,none": 0.013294199326613595, "alias": " - kmmlu_nondestructive_testing" }, "kmmlu_patent": { @@ -246,75 +246,75 @@ "alias": " - kmmlu_patent" }, "kmmlu_political_science_and_sociology": { - "acc,none": 0.2833333333333333, - "acc_stderr,none": 0.026059845940064958, - "acc_norm,none": 0.2833333333333333, - "acc_norm_stderr,none": 0.026059845940064958, + "acc,none": 0.29, + "acc_stderr,none": 0.026241737033622703, + "acc_norm,none": 0.29, + "acc_norm_stderr,none": 0.026241737033622703, "alias": " - kmmlu_political_science_and_sociology" }, "kmmlu_psychology": { - "acc,none": 0.236, - "acc_stderr,none": 0.013434451402438692, - "acc_norm,none": 0.236, - "acc_norm_stderr,none": 0.013434451402438692, + "acc,none": 0.234, + "acc_stderr,none": 0.01339490288966001, + "acc_norm,none": 0.234, + "acc_norm_stderr,none": 0.01339490288966001, "alias": " - kmmlu_psychology" }, "kmmlu_public_safety": { - "acc,none": 0.292, - "acc_stderr,none": 0.014385511563477341, - "acc_norm,none": 0.292, - "acc_norm_stderr,none": 0.014385511563477341, + "acc,none": 0.301, + "acc_stderr,none": 0.014512395033543159, + "acc_norm,none": 0.301, + "acc_norm_stderr,none": 0.014512395033543159, "alias": " - 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kmmlu_telecommunications_and_wireless_technology" } }, "groups": { "kmmlu": { - "acc,none": 0.270112619116373, - "acc_stderr,none": 0.02426918657426541, - "acc_norm,none": 0.270112619116373, - "acc_norm_stderr,none": 0.02426918657426541, + "acc,none": 0.26936182500721906, + "acc_stderr,none": 0.024299898599051413, + "acc_norm,none": 0.26936182500721906, + "acc_norm_stderr,none": 0.024299898599051413, "alias": "kmmlu" } }, @@ -2092,13 +2092,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 4 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/kmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/kmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 26c4ceb0838d33a5e5eb222995b65a0a380d8da7..e09fc008cbaf7cbeb392cddc583eaf3dadb54f93 100644 --- a/lm-eval-output/allenai/OLMo-7B/kmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/kmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b0aec920764a16911898552fd613294992dd057b13166b677d6bab55fb53fb62 -size 249223 +oid sha256:e8cefbf4f0873f2ef42cefc718c36a09c0c63d3e4b7431485ef4846dadf6694b +size 208768 diff --git a/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index e48261ca7616ed751849ea5b0552ce17be5f875b..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5c365e25bf2bae8e0185d7c9ba9a751824ff7f1a1cc21eafdb98d22c7a7b1cce -size 831752 diff --git a/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index aa9cdea03057fb70cea13f09d86ecffad19b27fc..dad6870356528ef9f06f3a9fa4c356336396c0cd 100644 --- a/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,41 +1,41 @@ { "results": { "kobest": { - "acc,none": 0.4867353650515238, - "acc_stderr,none": 0.03775670069085235, - "f1,none": 0.3952041743500793, + "acc,none": 0.48629686472264855, + "acc_stderr,none": 0.03845705102970606, + "f1,none": 0.3941498184514018, "f1_stderr,none": "N/A", - "acc_norm,none": 0.462, - "acc_norm_stderr,none": 0.0004981082164328657, + "acc_norm,none": 0.464, + "acc_norm_stderr,none": 0.0004984048096192345, "alias": "kobest" }, "kobest_boolq": { - "acc,none": 0.5028490028490028, - "acc_stderr,none": 0.013348550797680823, - "f1,none": 0.35511229034397807, + "acc,none": 0.5042735042735043, + "acc_stderr,none": 0.013348279916769821, + "f1,none": 0.35467032967032963, "f1_stderr,none": "N/A", "alias": " - kobest_boolq" }, "kobest_copa": { - "acc,none": 0.527, - "acc_stderr,none": 0.01579621855130262, - "f1,none": 0.5256676002892124, + "acc,none": 0.524, + "acc_stderr,none": 0.015801065586651758, + "f1,none": 0.5229906482116158, "f1_stderr,none": "N/A", "alias": " - kobest_copa" }, "kobest_hellaswag": { - "acc,none": 0.364, - 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"batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 8 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 51204350f9a3d610a2bd2896f965c82c85074b08..8946c2c7719cab1e6778617746c84129a00cd2b0 100644 --- a/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:63f646c4b53d2275e59665c054311869ece7c5e3ddfba31f7cae1abb1a0b5472 -size 31416 +oid sha256:da74f1796d0de08111e8b232ced3122134f5e53a0dcd6fe1bf87e24e4228bf65 +size 38221 diff --git a/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 5ef5a472020530279a8f20be1f04041a8ffe0dc8..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e5a3635bdb3df62be8c4b46489e5aa39526a58e152ae049a578f7a19ebf98fe9 -size 1969153 diff --git a/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 76e059b70853ed27ff1ccc40b7c906296ad9c1d7..98f7aec81af6ebf24f41e6b285b0c61a4692752a 100644 --- a/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,33 +1,33 @@ { "results": { "lambada": { - 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lambada_standard" } }, "groups": { "lambada": { - "perplexity,none": 4.580479771753293, - "perplexity_stderr,none": 0.24516278957673715, - "acc,none": 0.6632058994760334, - "acc_stderr,none": 0.01383973422461185, + "perplexity,none": 4.581086434995066, + "perplexity_stderr,none": 0.24535209996272006, + "acc,none": 0.6639821463225306, + "acc_stderr,none": 0.014008914961907022, "alias": "lambada" } }, @@ -112,13 +112,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 32 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 89a23cc8a54584c204cd8041d9f8c1004836569c..45ab6c01a6d81cee4116c5ce17ed836ca8db97d7 100644 --- a/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:ba161d5d3e6781f0f5267065b9b0b2b4a335924d50b24692fb072a01aed34aff -size 26523 +oid sha256:e6bb2ecfc031d37c3cf86cd8f928d40154cad20956535afca696e2a64a6195c2 +size 26754 diff --git a/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index ea662986444ddb0e9b4518bf452b8d10b198e0ce..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e952e77ebd06093869c2f3e51eacdff4bf38229182b4087770d356263a6102d0 -size 1943088 diff --git a/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index b566755e3f41de36fc2c0a1efb7a7cb0d40ec2eb..2550f310160c64f3f12a55a15370c9854c4b8fe8 100644 --- a/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,33 +1,33 @@ { "results": { "lambada_cloze": { - "perplexity,none": 201.8808036126752, - "perplexity_stderr,none": 6.39463446029785, - "acc,none": 0.09576945468659033, - "acc_stderr,none": 0.008224018836311266, + "perplexity,none": 202.60084862007227, + "perplexity_stderr,none": 6.427806219106391, + "acc,none": 0.09411993013778382, + "acc_stderr,none": 0.008590078218125246, "alias": "lambada_cloze" }, "lambada_openai_cloze_yaml": { - "perplexity,none": 200.64451400838843, - "perplexity_stderr,none": 6.48488731628756, - "acc,none": 0.08150591888220454, - "acc_stderr,none": 0.0038119292177701976, + "perplexity,none": 201.1914466369863, + "perplexity_stderr,none": 6.506244049635805, + "acc,none": 0.07898311663108869, + "acc_stderr,none": 0.0037576212389559436, "alias": " - lambada_openai_cloze_yaml" }, "lambada_standard_cloze_yaml": { - "perplexity,none": 203.117093216962, - "perplexity_stderr,none": 6.242797363168333, - "acc,none": 0.11003299049097613, - "acc_stderr,none": 0.004359738943980749, + "perplexity,none": 204.01025060315825, + "perplexity_stderr,none": 6.270310497569642, + "acc,none": 0.10925674364447895, + "acc_stderr,none": 0.004346227651722467, "alias": " - lambada_standard_cloze_yaml" } }, "groups": { "lambada_cloze": { - "perplexity,none": 201.8808036126752, - "perplexity_stderr,none": 6.39463446029785, - "acc,none": 0.09576945468659033, - "acc_stderr,none": 0.008224018836311266, + "perplexity,none": 202.60084862007227, + "perplexity_stderr,none": 6.427806219106391, + "acc,none": 0.09411993013778382, + "acc_stderr,none": 0.008590078218125246, "alias": "lambada_cloze" } }, @@ -112,13 +112,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 32 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index aaa78626da3d94fd4d2b3239a68a6fb4b1776762..a4c48803beec951cdfba597c6aaed3a0e5c7c7a3 100644 --- a/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:3e9de39822aa97cede187c05b0ba32445b11f34520ca5b2586b5ba11ca794a69 -size 26323 +oid sha256:13a1ea7ff27a744f6832ce754169e7999a544270af382a89c145bee14e266eaa +size 19729 diff --git a/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index a94f214b930eac14f2bdb4dc6dc49bc5049138ba..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9b93959b8341155d36730cc4af4c02be58e28d296548508a709d034a4129acc0 -size 1066916 diff --git a/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 5b6de9b95290672d5278e2500e620be3e767c387..4d136fd673777cd9b75e0871446f7cdb2edfd919 100644 --- a/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,8 +1,8 @@ { "results": { "logieval": { - "exact_match,get-answer": 0.25127226463104324, - "exact_match_stderr,get-answer": 0.01094324556925147, + "exact_match,get-answer": 0.2455470737913486, + "exact_match_stderr,get-answer": 0.010859138259206532, "alias": "logieval" } }, @@ -63,7 +63,7 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", + "batch_size": "auto", "batch_sizes": [], "device": null, "use_cache": null, @@ -71,5 +71,5 @@ "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 7a958aedaecc85adb014e816d7e2f5dbdcafa539..378ea5820b8dd254c9fac2776a2815060d7b6f88 100644 --- a/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:60809dd6c89aa81360eb7c365e82170ce124c93c29c723a7a90fa1c6050baef6 -size 22072 +oid sha256:4a1f89f1bd20cb0d9581ebca08b3d7e47091c6fde766a2ed79edbe53b8d80f01 +size 22052 diff --git a/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 6a4f6ff466475063ac5fbdb3ac67d97c7526f5ff..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:99c5a132be38d6a705684bf04e99cda370f5ca7b58a75f12ee8cb943168f2b02 -size 309798 diff --git a/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index b6d0bae30301f66f9b7efd0d860e42f384604644..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,64 +0,0 @@ -{ - "results": { - "logiqa": { - "acc,none": 0.23809523809523808, - "acc_stderr,none": 0.01670586703441963, - "acc_norm,none": 0.27035330261136714, - "acc_norm_stderr,none": 0.01742069478339314, - "alias": "logiqa" - } - }, - "configs": { - "logiqa": { - "task": "logiqa", - "dataset_path": "EleutherAI/logiqa", - "dataset_name": "logiqa", - "training_split": "train", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Passage: \n Question: \n Choices:\n A. \n B. \n C. \n D. \n Answer:\n \"\"\"\n choices = [\"a\", \"b\", \"c\", \"d\"]\n prompt = \"Passage: \" + doc[\"context\"] + \"\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\nChoices:\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"Answer:\"\n return prompt\n", - "doc_to_target": "def doc_to_target(doc) -> int:\n choices = [\"a\", \"b\", \"c\", \"d\"]\n return choices.index(doc[\"label\"].strip())\n", - "doc_to_choice": "{{options}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{context}}", - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "logiqa": 1.0 - }, - "n-shot": { - "logiqa": 0 - }, - "config": { - "model": "hf", - "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], - "device": null, - "use_cache": null, - "limit": null, - "bootstrap_iters": 100000, - "gen_kwargs": null - }, - "git_hash": "4701655" -} \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index a7d81d72628802f6b9f59ba0fe8602398afca942..0c9e0ae0bfd20e5eba986cdbc4a8a3b24c2bab52 100644 --- a/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:1afed80022da9a0b567771257e96972eb21062096c7b12753668c252b3c00e3e -size 18079 +oid sha256:b6d813aeb02f78d7c002a843f01b29fa2d93e26155de266673b77dff9b133248 +size 22189 diff --git a/lm-eval-output/allenai/OLMo-7B/logiqa2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/logiqa2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 1f87ca374d5ce633624c3cea91e82c9bc8944388..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/logiqa2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4377ad7e50e0611971d6b447cc968258e7179641fff47956021e5479906f3a3f -size 821458 diff --git a/lm-eval-output/allenai/OLMo-7B/logiqa2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/logiqa2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 278419043b5da813270e871e04eef63d55391d16..98dd0c9a5daa644576611e7344dadb4b8339c9ac 100644 --- a/lm-eval-output/allenai/OLMo-7B/logiqa2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/logiqa2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,10 +1,10 @@ { "results": { "logiqa2": { - 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"acc,none": 0.2552763819095477, - "acc_stderr,none": 0.00798184834896828, - "acc_norm,none": 0.2525963149078727, - "acc_norm_stderr,none": 0.007954112207299585, + "acc,none": 0.25896147403685094, + "acc_stderr,none": 0.008019338828219905, + "acc_norm,none": 0.254606365159129, + "acc_norm_stderr,none": 0.007974951653806829, "alias": "mathqa" } }, @@ -54,13 +54,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 32 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/mathqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/mathqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 7147f36a21808a344156ca67d67c84ea1c9c7d79..a3fd992c22a3360414b4b537e5282d89a464e12b 100644 --- a/lm-eval-output/allenai/OLMo-7B/mathqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/mathqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:45ff2fe8129191ef6a2838115ebb709d0340f8958baaaae6fb265405d1b44daf -size 22059 +oid sha256:6da0aab79c838012114e306652dbf9afe0d2d5fc797600d1298d4ffb21a02fa7 +size 14214 diff --git a/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index e2e74563db5a47916202357436d432d68721d51b..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:966c53240bcec317de5d17f50f9fa86ea6bb67bf480f2daac489f2b4d714123c -size 782140 diff --git a/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 9b33fc2b3c45e2d7f40a7f35590bcbaa2677d80d..0d0a5acf33f4570833aa810739d2663383f907c4 100644 --- a/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,10 +1,10 @@ { "results": { "mc_taco": { - "acc,none": 0.3646473204829485, - "acc_stderr,none": 0.004953759833118804, - "f1,none": 0.5047469660695121, - "f1_stderr,none": 0.0055681597726211125, + "acc,none": 0.3653886888371108, + "acc_stderr,none": 0.0049558990911878825, + "f1,none": 0.5050388237237733, + "f1_stderr,none": 0.005568430015605393, "alias": "mc_taco" } }, @@ -49,13 +49,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 934dfa97705718bf7af6d821ae3ad433a914fdf0..38fcf087bcbeeac30b9b6adf53fe1591c1e3c3c4 100644 --- a/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/mc_taco/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:cbc85721a696c8e3be5ecae81e46e97bdbc6e9e550f51aaac8b1769fb1479561 -size 32360 +oid sha256:e3113985b74b1e82a7d79ebbc152856a4b11ba4dde45c164eac06172cd9141ad +size 21406 diff --git a/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index ab96bcc6d5b813fc655c5b29ee8e3acccb25b602..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b660d14fa04ab6a7d2cea1776b566635c370c46658df7337582d7451dc25148c -size 1411337 diff --git a/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 7b7c08688064538d3a792cd8379c03ae41eb92cb..241c339f8303cc92dd02370f9e1e67f429e69038 100644 --- a/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,10 +1,10 @@ { "results": { "medmcqa": { - "acc,none": 0.25029882859191965, - "acc_stderr,none": 0.006698560574683251, - "acc_norm,none": 0.25029882859191965, - "acc_norm_stderr,none": 0.006698560574683251, + "acc,none": 0.2510160172125269, + "acc_stderr,none": 0.006704941116035671, + "acc_norm,none": 0.2510160172125269, + "acc_norm_stderr,none": 0.006704941116035671, "alias": "medmcqa" } }, @@ -53,13 +53,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 32 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index ea53f7276d5e0416e295cb61bc77c44545c4afaf..8b998406c92b29b85e8dcb9e1f6dfd79f99c4264 100644 --- a/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/medmcqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:4a7768e9b004f3421aefcaf66bf2ba0580e5ab9aed3859247f43546ce0c743d6 -size 23711 +oid sha256:99855d6f98deb7fe002cdc53586711288ca0fd0c9f2fc39a80f8fc1866b3070c +size 14740 diff --git a/lm-eval-output/allenai/OLMo-7B/medqa_4options/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/medqa_4options/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index eb82e436b7f66890e172f319890042e8564ee74c..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/medqa_4options/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:620d40cd788a0210d80bfad297243cf36081568a8e5dc614626b861df19e373c -size 641298 diff --git a/lm-eval-output/allenai/OLMo-7B/medqa_4options/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/medqa_4options/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index bc64767a7368257b43bae11531680dd533f098a1..4c6d2509fb88a0b9825afd4a56f48d2c94e3adba 100644 --- a/lm-eval-output/allenai/OLMo-7B/medqa_4options/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/medqa_4options/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,10 +1,10 @@ { "results": { "medqa_4options": { - 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"results": { - "mmlu": { - "acc,none": 0.2824383990884489, - "acc_stderr,none": 0.04247561258047098, - "alias": "mmlu" - }, - "mmlu_humanities": { - "alias": " - humanities", - "acc,none": 0.2737513283740701, - "acc_stderr,none": 0.0411011139362443 - }, - "mmlu_formal_logic": { - "alias": " - formal_logic", - "acc,none": 0.38095238095238093, - "acc_stderr,none": 0.043435254289490965 - }, - "mmlu_high_school_european_history": { - "alias": " - high_school_european_history", - "acc,none": 0.23636363636363636, - "acc_stderr,none": 0.033175059300091805 - }, - "mmlu_high_school_us_history": { - "alias": " - high_school_us_history", - "acc,none": 0.24019607843137256, - "acc_stderr,none": 0.02998373305591361 - }, - "mmlu_high_school_world_history": { - "alias": " - high_school_world_history", - "acc,none": 0.23628691983122363, - "acc_stderr,none": 0.02765215314415928 - }, - "mmlu_international_law": { - "alias": " - international_law", - "acc,none": 0.35537190082644626, - "acc_stderr,none": 0.04369236326573981 - }, - "mmlu_jurisprudence": { - "alias": " - jurisprudence", - "acc,none": 0.2037037037037037, - "acc_stderr,none": 0.03893542518824848 - }, - "mmlu_logical_fallacies": { - "alias": " - logical_fallacies", - "acc,none": 0.294478527607362, - "acc_stderr,none": 0.03581165790474082 - }, - "mmlu_moral_disputes": { - "alias": " - moral_disputes", - "acc,none": 0.27167630057803466, - "acc_stderr,none": 0.023948512905468348 - }, - "mmlu_moral_scenarios": { - "alias": " - moral_scenarios", - "acc,none": 0.2424581005586592, - "acc_stderr,none": 0.014333522059217892 - }, - "mmlu_philosophy": { - "alias": " - philosophy", - "acc,none": 0.31511254019292606, - "acc_stderr,none": 0.026385273703464485 - }, - "mmlu_prehistory": { - "alias": " - prehistory", - "acc,none": 0.29012345679012347, - "acc_stderr,none": 0.025251173936495022 - }, - "mmlu_professional_law": { - "alias": " - professional_law", - "acc,none": 0.273142112125163, - "acc_stderr,none": 0.011380150567830403 - }, - "mmlu_world_religions": { - "alias": " - world_religions", - "acc,none": 0.3567251461988304, - "acc_stderr,none": 0.03674013002860954 - }, - "mmlu_other": { - "alias": " - other", - "acc,none": 0.2845188284518829, - "acc_stderr,none": 0.04353064334839231 - }, - "mmlu_business_ethics": { - "alias": " - business_ethics", - "acc,none": 0.27, - "acc_stderr,none": 0.0446196043338474 - }, - "mmlu_clinical_knowledge": { - "alias": " - clinical_knowledge", - "acc,none": 0.25660377358490566, - "acc_stderr,none": 0.026880647889051992 - }, - "mmlu_college_medicine": { - "alias": " - college_medicine", - "acc,none": 0.3236994219653179, - "acc_stderr,none": 0.0356760379963917 - }, - "mmlu_global_facts": { - "alias": " - global_facts", - "acc,none": 0.36, - "acc_stderr,none": 0.048241815132442176 - }, - "mmlu_human_aging": { - "alias": " - human_aging", - "acc,none": 0.2242152466367713, - "acc_stderr,none": 0.027991534258519527 - }, - "mmlu_management": { - "alias": " - management", - "acc,none": 0.2524271844660194, - "acc_stderr,none": 0.04301250399690878 - 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"alias": " - social_sciences", - "acc,none": 0.2918427039324017, - "acc_stderr,none": 0.03431852465251 - }, - "mmlu_econometrics": { - "alias": " - econometrics", - "acc,none": 0.2543859649122807, - "acc_stderr,none": 0.040969851398436695 - }, - "mmlu_high_school_geography": { - "alias": " - high_school_geography", - "acc,none": 0.31313131313131315, - "acc_stderr,none": 0.03304205087813652 - }, - "mmlu_high_school_government_and_politics": { - "alias": " - high_school_government_and_politics", - "acc,none": 0.30569948186528495, - "acc_stderr,none": 0.033248379397581594 - }, - "mmlu_high_school_macroeconomics": { - "alias": " - high_school_macroeconomics", - "acc,none": 0.30512820512820515, - "acc_stderr,none": 0.023346335293325887 - }, - "mmlu_high_school_microeconomics": { - "alias": " - high_school_microeconomics", - "acc,none": 0.2815126050420168, - "acc_stderr,none": 0.02921354941437217 - }, - "mmlu_high_school_psychology": { - "alias": " - high_school_psychology", - "acc,none": 0.28807339449541286, - "acc_stderr,none": 0.01941644589263603 - }, - "mmlu_human_sexuality": { - "alias": " - human_sexuality", - "acc,none": 0.31297709923664124, - "acc_stderr,none": 0.04066962905677697 - }, - "mmlu_professional_psychology": { - "alias": " - professional_psychology", - "acc,none": 0.2696078431372549, - "acc_stderr,none": 0.017952449196987862 - }, - "mmlu_public_relations": { - "alias": " - public_relations", - "acc,none": 0.2545454545454545, - "acc_stderr,none": 0.041723430387053825 - }, - "mmlu_security_studies": { - "alias": " - security_studies", - "acc,none": 0.3020408163265306, - "acc_stderr,none": 0.029393609319879815 - }, - "mmlu_sociology": { - "alias": " - sociology", - "acc,none": 0.2935323383084577, - "acc_stderr,none": 0.03220024104534204 - }, - "mmlu_us_foreign_policy": { - "alias": " - us_foreign_policy", - "acc,none": 0.38, - "acc_stderr,none": 0.04878317312145632 - }, - "mmlu_stem": { - "alias": " - stem", - "acc,none": 0.284173802727561, - "acc_stderr,none": 0.049209572972660855 - 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"acc,none": 0.23529411764705882, - "acc_stderr,none": 0.04220773659171453 - }, - "mmlu_computer_security": { - "alias": " - computer_security", - "acc,none": 0.36, - "acc_stderr,none": 0.04824181513244218 - }, - "mmlu_conceptual_physics": { - "alias": " - conceptual_physics", - "acc,none": 0.24680851063829787, - "acc_stderr,none": 0.028185441301234106 - }, - "mmlu_electrical_engineering": { - "alias": " - electrical_engineering", - "acc,none": 0.296551724137931, - "acc_stderr,none": 0.03806142687309993 - }, - "mmlu_elementary_mathematics": { - "alias": " - elementary_mathematics", - "acc,none": 0.2698412698412698, - "acc_stderr,none": 0.02286083830923207 - }, - "mmlu_high_school_biology": { - "alias": " - high_school_biology", - "acc,none": 0.25161290322580643, - "acc_stderr,none": 0.024685979286239952 - }, - "mmlu_high_school_chemistry": { - "alias": " - high_school_chemistry", - "acc,none": 0.29064039408866993, - "acc_stderr,none": 0.031947400722655395 - }, - "mmlu_high_school_computer_science": { - "alias": " - high_school_computer_science", - "acc,none": 0.27, - "acc_stderr,none": 0.04461960433384741 - }, - "mmlu_high_school_mathematics": { - "alias": " - high_school_mathematics", - "acc,none": 0.2740740740740741, - "acc_stderr,none": 0.027195934804085626 - }, - "mmlu_high_school_physics": { - "alias": " - high_school_physics", - "acc,none": 0.2847682119205298, - "acc_stderr,none": 0.03684881521389023 - }, - "mmlu_high_school_statistics": { - "alias": " - high_school_statistics", - "acc,none": 0.2824074074074074, - "acc_stderr,none": 0.030701372111510923 - }, - "mmlu_machine_learning": { - "alias": " - machine_learning", - "acc,none": 0.30357142857142855, - "acc_stderr,none": 0.04364226155841044 - } - }, - "groups": { - "mmlu": { - "acc,none": 0.2824383990884489, - "acc_stderr,none": 0.04247561258047098, - "alias": "mmlu" - }, - "mmlu_humanities": { - "alias": " - humanities", - "acc,none": 0.2737513283740701, - "acc_stderr,none": 0.0411011139362443 - }, - "mmlu_other": { - "alias": " - other", - "acc,none": 0.2845188284518829, - "acc_stderr,none": 0.04353064334839231 - }, - "mmlu_social_sciences": { - "alias": " - social_sciences", - "acc,none": 0.2918427039324017, - "acc_stderr,none": 0.03431852465251 - }, - "mmlu_stem": { - "alias": " - stem", - "acc,none": 0.284173802727561, - "acc_stderr,none": 0.049209572972660855 - } - }, - "configs": { - "mmlu_abstract_algebra": { - "task": "mmlu_abstract_algebra", - "task_alias": "abstract_algebra", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "abstract_algebra", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about abstract algebra.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_anatomy": { - "task": "mmlu_anatomy", - "task_alias": "anatomy", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "anatomy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about anatomy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_astronomy": { - "task": "mmlu_astronomy", - "task_alias": "astronomy", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "astronomy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about astronomy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_business_ethics": { - "task": "mmlu_business_ethics", - "task_alias": "business_ethics", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "business_ethics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about business ethics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_clinical_knowledge": { - "task": "mmlu_clinical_knowledge", - "task_alias": "clinical_knowledge", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "clinical_knowledge", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_biology": { - "task": "mmlu_college_biology", - "task_alias": "college_biology", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_biology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college biology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_chemistry": { - "task": "mmlu_college_chemistry", - "task_alias": "college_chemistry", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_chemistry", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college chemistry.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_computer_science": { - "task": "mmlu_college_computer_science", - "task_alias": "college_computer_science", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_computer_science", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college computer science.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_mathematics": { - "task": "mmlu_college_mathematics", - "task_alias": "college_mathematics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_mathematics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college mathematics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_medicine": { - "task": "mmlu_college_medicine", - "task_alias": "college_medicine", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_medicine", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college medicine.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_physics": { - "task": "mmlu_college_physics", - "task_alias": "college_physics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_physics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college physics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_computer_security": { - "task": "mmlu_computer_security", - "task_alias": "computer_security", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "computer_security", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about computer security.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_conceptual_physics": { - "task": "mmlu_conceptual_physics", - "task_alias": "conceptual_physics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "conceptual_physics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about conceptual physics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_econometrics": { - "task": "mmlu_econometrics", - "task_alias": "econometrics", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "econometrics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about econometrics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_electrical_engineering": { - "task": "mmlu_electrical_engineering", - "task_alias": "electrical_engineering", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "electrical_engineering", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about electrical engineering.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_elementary_mathematics": { - "task": "mmlu_elementary_mathematics", - "task_alias": "elementary_mathematics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "elementary_mathematics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about elementary mathematics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_formal_logic": { - "task": "mmlu_formal_logic", - "task_alias": "formal_logic", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "formal_logic", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about formal logic.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_global_facts": { - "task": "mmlu_global_facts", - "task_alias": "global_facts", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "global_facts", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about global facts.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_biology": { - "task": "mmlu_high_school_biology", - "task_alias": "high_school_biology", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_biology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school biology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_chemistry": { - "task": "mmlu_high_school_chemistry", - "task_alias": "high_school_chemistry", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_chemistry", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school chemistry.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_computer_science": { - "task": "mmlu_high_school_computer_science", - "task_alias": "high_school_computer_science", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_computer_science", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school computer science.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_european_history": { - "task": "mmlu_high_school_european_history", - "task_alias": "high_school_european_history", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_european_history", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school european history.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_geography": { - "task": "mmlu_high_school_geography", - "task_alias": "high_school_geography", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_geography", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school geography.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_government_and_politics": { - "task": "mmlu_high_school_government_and_politics", - "task_alias": "high_school_government_and_politics", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_government_and_politics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school government and politics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_macroeconomics": { - "task": "mmlu_high_school_macroeconomics", - "task_alias": "high_school_macroeconomics", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_macroeconomics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school macroeconomics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_mathematics": { - "task": "mmlu_high_school_mathematics", - "task_alias": "high_school_mathematics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_mathematics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_microeconomics": { - "task": "mmlu_high_school_microeconomics", - "task_alias": "high_school_microeconomics", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_microeconomics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school microeconomics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_physics": { - "task": "mmlu_high_school_physics", - "task_alias": "high_school_physics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_physics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school physics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_psychology": { - "task": "mmlu_high_school_psychology", - "task_alias": "high_school_psychology", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_psychology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school psychology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_statistics": { - "task": "mmlu_high_school_statistics", - "task_alias": "high_school_statistics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_statistics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school statistics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_us_history": { - "task": "mmlu_high_school_us_history", - "task_alias": "high_school_us_history", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_us_history", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school us history.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_world_history": { - "task": "mmlu_high_school_world_history", - "task_alias": "high_school_world_history", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_world_history", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school world history.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_human_aging": { - "task": "mmlu_human_aging", - "task_alias": "human_aging", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "human_aging", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about human aging.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_human_sexuality": { - "task": "mmlu_human_sexuality", - "task_alias": "human_sexuality", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "human_sexuality", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about human sexuality.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_international_law": { - "task": "mmlu_international_law", - "task_alias": "international_law", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "international_law", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about international law.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_jurisprudence": { - "task": "mmlu_jurisprudence", - "task_alias": "jurisprudence", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "jurisprudence", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about jurisprudence.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_logical_fallacies": { - "task": "mmlu_logical_fallacies", - "task_alias": "logical_fallacies", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "logical_fallacies", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about logical fallacies.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_machine_learning": { - "task": "mmlu_machine_learning", - "task_alias": "machine_learning", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "machine_learning", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about machine learning.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_management": { - "task": "mmlu_management", - "task_alias": "management", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "management", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about management.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_marketing": { - "task": "mmlu_marketing", - "task_alias": "marketing", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "marketing", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about marketing.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_medical_genetics": { - "task": "mmlu_medical_genetics", - "task_alias": "medical_genetics", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "medical_genetics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about medical genetics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_miscellaneous": { - "task": "mmlu_miscellaneous", - "task_alias": "miscellaneous", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "miscellaneous", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about miscellaneous.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_moral_disputes": { - "task": "mmlu_moral_disputes", - "task_alias": "moral_disputes", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "moral_disputes", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about moral disputes.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_moral_scenarios": { - "task": "mmlu_moral_scenarios", - "task_alias": "moral_scenarios", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "moral_scenarios", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about moral scenarios.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_nutrition": { - "task": "mmlu_nutrition", - "task_alias": "nutrition", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "nutrition", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about nutrition.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_philosophy": { - "task": "mmlu_philosophy", - "task_alias": "philosophy", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "philosophy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about philosophy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_prehistory": { - "task": "mmlu_prehistory", - "task_alias": "prehistory", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "prehistory", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about prehistory.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_accounting": { - "task": "mmlu_professional_accounting", - "task_alias": "professional_accounting", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_accounting", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional accounting.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_law": { - "task": "mmlu_professional_law", - "task_alias": "professional_law", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_law", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional law.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_medicine": { - "task": "mmlu_professional_medicine", - "task_alias": "professional_medicine", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_medicine", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional medicine.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_psychology": { - "task": "mmlu_professional_psychology", - "task_alias": "professional_psychology", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_psychology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional psychology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_public_relations": { - "task": "mmlu_public_relations", - "task_alias": "public_relations", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "public_relations", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about public relations.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_security_studies": { - "task": "mmlu_security_studies", - "task_alias": "security_studies", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "security_studies", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about security studies.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_sociology": { - "task": "mmlu_sociology", - "task_alias": "sociology", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "sociology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about sociology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_us_foreign_policy": { - "task": "mmlu_us_foreign_policy", - "task_alias": "us_foreign_policy", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "us_foreign_policy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about us foreign policy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_virology": { - "task": "mmlu_virology", - "task_alias": "virology", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "virology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about virology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_world_religions": { - "task": "mmlu_world_religions", - "task_alias": "world_religions", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "world_religions", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about world religions.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - } - }, - "versions": { - "mmlu": "N/A", - "mmlu_abstract_algebra": 0.0, - "mmlu_anatomy": 0.0, - "mmlu_astronomy": 0.0, - "mmlu_business_ethics": 0.0, - "mmlu_clinical_knowledge": 0.0, - "mmlu_college_biology": 0.0, - "mmlu_college_chemistry": 0.0, - "mmlu_college_computer_science": 0.0, - "mmlu_college_mathematics": 0.0, - "mmlu_college_medicine": 0.0, - "mmlu_college_physics": 0.0, - "mmlu_computer_security": 0.0, - "mmlu_conceptual_physics": 0.0, - "mmlu_econometrics": 0.0, - "mmlu_electrical_engineering": 0.0, - "mmlu_elementary_mathematics": 0.0, - "mmlu_formal_logic": 0.0, - "mmlu_global_facts": 0.0, - "mmlu_high_school_biology": 0.0, - "mmlu_high_school_chemistry": 0.0, - "mmlu_high_school_computer_science": 0.0, - "mmlu_high_school_european_history": 0.0, - "mmlu_high_school_geography": 0.0, - "mmlu_high_school_government_and_politics": 0.0, - "mmlu_high_school_macroeconomics": 0.0, - "mmlu_high_school_mathematics": 0.0, - "mmlu_high_school_microeconomics": 0.0, - "mmlu_high_school_physics": 0.0, - "mmlu_high_school_psychology": 0.0, - "mmlu_high_school_statistics": 0.0, - "mmlu_high_school_us_history": 0.0, - "mmlu_high_school_world_history": 0.0, - "mmlu_human_aging": 0.0, - "mmlu_human_sexuality": 0.0, - "mmlu_humanities": "N/A", - "mmlu_international_law": 0.0, - "mmlu_jurisprudence": 0.0, - "mmlu_logical_fallacies": 0.0, - "mmlu_machine_learning": 0.0, - "mmlu_management": 0.0, - "mmlu_marketing": 0.0, - "mmlu_medical_genetics": 0.0, - "mmlu_miscellaneous": 0.0, - "mmlu_moral_disputes": 0.0, - "mmlu_moral_scenarios": 0.0, - "mmlu_nutrition": 0.0, - "mmlu_other": "N/A", - "mmlu_philosophy": 0.0, - "mmlu_prehistory": 0.0, - "mmlu_professional_accounting": 0.0, - "mmlu_professional_law": 0.0, - "mmlu_professional_medicine": 0.0, - "mmlu_professional_psychology": 0.0, - "mmlu_public_relations": 0.0, - "mmlu_security_studies": 0.0, - "mmlu_social_sciences": "N/A", - "mmlu_sociology": 0.0, - "mmlu_stem": "N/A", - "mmlu_us_foreign_policy": 0.0, - "mmlu_virology": 0.0, - "mmlu_world_religions": 0.0 - }, - "n-shot": { - "mmlu": 0, - "mmlu_abstract_algebra": 0, - "mmlu_anatomy": 0, - "mmlu_astronomy": 0, - "mmlu_business_ethics": 0, - "mmlu_clinical_knowledge": 0, - "mmlu_college_biology": 0, - "mmlu_college_chemistry": 0, - "mmlu_college_computer_science": 0, - "mmlu_college_mathematics": 0, - "mmlu_college_medicine": 0, - "mmlu_college_physics": 0, - "mmlu_computer_security": 0, - "mmlu_conceptual_physics": 0, - "mmlu_econometrics": 0, - "mmlu_electrical_engineering": 0, - "mmlu_elementary_mathematics": 0, - "mmlu_formal_logic": 0, - "mmlu_global_facts": 0, - "mmlu_high_school_biology": 0, - "mmlu_high_school_chemistry": 0, - "mmlu_high_school_computer_science": 0, - "mmlu_high_school_european_history": 0, - "mmlu_high_school_geography": 0, - "mmlu_high_school_government_and_politics": 0, - "mmlu_high_school_macroeconomics": 0, - "mmlu_high_school_mathematics": 0, - "mmlu_high_school_microeconomics": 0, - "mmlu_high_school_physics": 0, - "mmlu_high_school_psychology": 0, - "mmlu_high_school_statistics": 0, - "mmlu_high_school_us_history": 0, - "mmlu_high_school_world_history": 0, - "mmlu_human_aging": 0, - "mmlu_human_sexuality": 0, - "mmlu_humanities": 0, - "mmlu_international_law": 0, - "mmlu_jurisprudence": 0, - "mmlu_logical_fallacies": 0, - "mmlu_machine_learning": 0, - "mmlu_management": 0, - "mmlu_marketing": 0, - "mmlu_medical_genetics": 0, - "mmlu_miscellaneous": 0, - "mmlu_moral_disputes": 0, - "mmlu_moral_scenarios": 0, - "mmlu_nutrition": 0, - "mmlu_other": 0, - "mmlu_philosophy": 0, - "mmlu_prehistory": 0, - "mmlu_professional_accounting": 0, - "mmlu_professional_law": 0, - "mmlu_professional_medicine": 0, - "mmlu_professional_psychology": 0, - "mmlu_public_relations": 0, - "mmlu_security_studies": 0, - "mmlu_social_sciences": 0, - "mmlu_sociology": 0, - "mmlu_stem": 0, - "mmlu_us_foreign_policy": 0, - "mmlu_virology": 0, - "mmlu_world_religions": 0 - }, - "config": { - "model": "hf", - "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], - "device": null, - "use_cache": null, - "limit": null, - "bootstrap_iters": 100000, - "gen_kwargs": null - }, - "git_hash": "4701655" -} \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index a96161f8d9b31626cf39c93453a651bb6d3c2076..7a12c9f490e916b3d94540907d3f9a0118ecb01e 100644 --- a/lm-eval-output/allenai/OLMo-7B/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:a2e9d3f98874dd8e2947f52bd9d3dced8306d9e1104048bb1e7a33420d8d1cf5 -size 121026 +oid sha256:2d9d7525a07f80582d69a832fc6d03cc551981a5843a40863cdb5dcaa194a87f +size 70800 diff --git a/lm-eval-output/allenai/OLMo-7B/mnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/mnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 6e6f7d2d50c76b80b53b5e5485e268a592db69fc..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/mnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:009ba12413dacb20b6b75c2fe9f3eaa9e8e8236651cc59a5628311d282edadd0 -size 1454792 diff --git a/lm-eval-output/allenai/OLMo-7B/mnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/mnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index 37674c04379a0c4d32abd82fecca4bee0e9026ac..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/mnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,58 +0,0 @@ -{ - "results": { - "mnli": { - "acc,none": 0.32776362710137547, - "acc_stderr,none": 0.004738254189734395, - "alias": "mnli" - } - }, - "configs": { - "mnli": { - "task": "mnli", - "group": "glue", - "dataset_path": "glue", - "dataset_name": "mnli", - "training_split": "train", - "validation_split": "validation_matched", - "doc_to_text": "def doc_to_text(doc) -> str:\n return \"{}\\nQuestion: {} True, False or Neither?\\nAnswer:\".format(\n doc[\"premise\"],\n doc[\"hypothesis\"].strip()\n + (\"\" if doc[\"hypothesis\"].strip().endswith(\".\") else \".\"),\n )\n", - "doc_to_target": "label", - "doc_to_choice": [ - "True", - "Neither", - "False" - ], - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "mnli": 1.0 - }, - "n-shot": { - "mnli": 0 - }, - "config": { - "model": "hf", - 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"batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/mrpc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/mrpc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 9ba35cb43ffaca60eb18afb8cf0fb174f6fc9fe3..04a64f54b710e4b4d04f886b56a38ad28deda547 100644 --- a/lm-eval-output/allenai/OLMo-7B/mrpc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/mrpc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:fc17c8261a8ed63099836b62488996caaabcf752b6c4e12c703811b24c90775f -size 16755 +oid sha256:9774a63480eefa9985a3366a0a7a91ed01a9276a0dc6180bb23cf375b89656f3 +size 16849 diff --git a/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 662527ece3c55afbcfe09c08ed4b52df57497da0..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b4257ad1f70ed55089b6c29baa28d0d55ff5edaab84a070e309da3e98687a9a6 -size 2798765 diff --git a/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index 12e025f2ecfce6bdf43ea4185b746a7ad136ec29..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,427 +0,0 @@ -{ - "results": { - "multimedqa": { - "alias": "stem", - "acc,none": 0.28431511710432933, - "acc_stderr,none": 0.10619682013189911, - "acc_norm,none": 0.2498366196439298, - "acc_norm_stderr,none": 8.176703928892357e-05 - }, - "medmcqa": { - "acc,none": 0.25029882859191965, - "acc_stderr,none": 0.006698560574683251, - "acc_norm,none": 0.25029882859191965, - "acc_norm_stderr,none": 0.006698560574683251, - "alias": " - medmcqa" - }, - "medqa_4options": { - "acc,none": 0.24901806755695208, - "acc_stderr,none": 0.012125135984037819, - "acc_norm,none": 0.24901806755695208, - "acc_norm_stderr,none": 0.012125135984037819, - "alias": " - medqa_4options" - }, - "mmlu_anatomy": { - "alias": " - anatomy (mmlu)", - "acc,none": 0.26666666666666666, - "acc_stderr,none": 0.038201699145179055 - }, - "mmlu_clinical_knowledge": { - "alias": " - clinical_knowledge (mmlu)", - "acc,none": 0.25660377358490566, - "acc_stderr,none": 0.026880647889051992 - }, - "mmlu_college_biology": { - "alias": " - college_biology (mmlu)", - "acc,none": 0.2916666666666667, - "acc_stderr,none": 0.038009680605548574 - }, - "mmlu_college_medicine": { - "alias": " - college_medicine (mmlu)", - "acc,none": 0.3236994219653179, - "acc_stderr,none": 0.0356760379963917 - }, - "mmlu_medical_genetics": { - "alias": " - medical_genetics (mmlu)", - "acc,none": 0.27, - "acc_stderr,none": 0.044619604333847394 - }, - "mmlu_professional_medicine": { - "alias": " - professional_medicine (mmlu)", - "acc,none": 0.23529411764705882, - "acc_stderr,none": 0.025767252010855973 - }, - "pubmedqa": { - "acc,none": 0.692, - "acc_stderr,none": 0.0206670329874661, - "alias": " - pubmedqa" - } - }, - "groups": { - "multimedqa": { - "alias": "stem", - "acc,none": 0.28431511710432933, - "acc_stderr,none": 0.10619682013189911, - "acc_norm,none": 0.2498366196439298, - "acc_norm_stderr,none": 8.176703928892357e-05 - } - }, - "configs": { - "medmcqa": { - "task": "medmcqa", - "dataset_path": "medmcqa", - "training_split": "train", - "validation_split": "validation", - "test_split": "validation", - "doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Question: \n Choices:\n A. \n B. \n C. \n D. \n Answer:\n \"\"\"\n choices = [doc[\"opa\"], doc[\"opb\"], doc[\"opc\"], doc[\"opd\"]]\n option_choices = {'A': choices[0], 'B': choices[1], 'C': choices[2], 'D': choices[3]}\n\n prompt = \"Question: \" + doc[\"question\"] + \"\\nChoices:\\n\"\n for choice, option in option_choices.items():\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"Answer:\"\n return prompt\n", - "doc_to_target": "cop", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{question}}" - }, - "medqa_4options": { - "task": "medqa_4options", - "dataset_path": "GBaker/MedQA-USMLE-4-options-hf", - "training_split": "train", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc) -> str:\n option_choices = {'A': doc[\"ending0\"], 'B': doc[\"ending1\"], 'C': doc[\"ending2\"], 'D': doc[\"ending3\"]}\n answers = \"\".join((f\"{k}. {v}\\n\") for k, v in option_choices.items())\n return f\"Question: {doc['sent1']}\\n{answers}Answer:\"\n", - "doc_to_target": "def doc_to_target(doc) -> int:\n return doc[\"label\"]\n", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false - }, - "mmlu_anatomy": { - "task": "mmlu_anatomy", - "task_alias": "anatomy (mmlu)", - "group": "multimedqa", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "anatomy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about anatomy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_clinical_knowledge": { - "task": "mmlu_clinical_knowledge", - "task_alias": "clinical_knowledge (mmlu)", - "group": "multimedqa", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "clinical_knowledge", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_biology": { - "task": "mmlu_college_biology", - "task_alias": "college_biology (mmlu)", - "group": "multimedqa", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_biology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college biology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_medicine": { - "task": "mmlu_college_medicine", - "task_alias": "college_medicine (mmlu)", - "group": "multimedqa", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_medicine", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college medicine.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_medical_genetics": { - "task": "mmlu_medical_genetics", - "task_alias": "medical_genetics (mmlu)", - "group": "multimedqa", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "medical_genetics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about medical genetics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_medicine": { - "task": "mmlu_professional_medicine", - "task_alias": "professional_medicine (mmlu)", - "group": "multimedqa", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_medicine", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional medicine.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "pubmedqa": { - "task": "pubmedqa", - "dataset_path": "bigbio/pubmed_qa", - "dataset_name": "pubmed_qa_labeled_fold0_source", - "training_split": "train", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc) -> str:\n ctxs = \"\\n\".join(doc[\"CONTEXTS\"])\n return \"Abstract: {}\\nQuestion: {}\\nAnswer:\".format(\n ctxs,\n doc[\"QUESTION\"],\n )\n", - "doc_to_target": "final_decision", - "doc_to_choice": [ - "yes", - "no", - "maybe" - ], - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "medmcqa": "Yaml", - "medqa_4options": "Yaml", - "mmlu_anatomy": 0.0, - "mmlu_clinical_knowledge": 0.0, - "mmlu_college_biology": 0.0, - "mmlu_college_medicine": 0.0, - "mmlu_medical_genetics": 0.0, - "mmlu_professional_medicine": 0.0, - "multimedqa": "N/A", - "pubmedqa": 1.0 - }, - "n-shot": { - "medmcqa": 0, - "medqa_4options": 0, - "mmlu_anatomy": 0, - "mmlu_clinical_knowledge": 0, - "mmlu_college_biology": 0, - "mmlu_college_medicine": 0, - "mmlu_medical_genetics": 0, - "mmlu_professional_medicine": 0, - "multimedqa": 0, - "pubmedqa": 0 - }, - "config": { - "model": "hf", - "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], - "device": null, - "use_cache": null, - "limit": null, - "bootstrap_iters": 100000, - "gen_kwargs": null - }, - "git_hash": "4701655" -} \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 233483a49470c412f4fb46f8086fcaca604c6399..70b9a0789e4daf47e5859a1cbdf65ce351aaa5af 100644 --- a/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:3ea480bf6be6450ac138f1be9c1a15bdc6cee0a2c87dccdaac4d303380ecb824 -size 49758 +oid sha256:bd89e790f3b8de7ff66505c6f0c72a806c9c8733d0a10bb7b6bd811ae52634c6 +size 37803 diff --git a/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 38d96846f9ecb5f30163406181c3ef934359009f..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e33b2d943ff4e2a3260e3697131a46841f610d7ca8326961a05bc4fa07e26fb4 -size 1066382 diff --git a/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index 397b2572aaef775057cc5449b1776de4b4fae22d..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "results": { - "multirc": { - "acc,none": 0.5693069306930693, - "acc_stderr,none": 0.007112473596419734, - "alias": "multirc" - } - }, - "configs": { - "multirc": { - "task": "multirc", - "group": [ - "super-glue-lm-eval-v1" - ], - "dataset_path": "super_glue", - "dataset_name": "multirc", - "training_split": "train", - "validation_split": "validation", - "doc_to_text": "{{paragraph}}\nQuestion: {{question}}\nAnswer:", - "doc_to_target": "label", - "doc_to_choice": "['''{{answer}}\\nIs the answer correct? yes''', '''{{answer}}\\nIs the answer correct? no''']", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 2.0 - } - } - }, - "versions": { - "multirc": 2.0 - }, - "n-shot": { - "multirc": 0 - }, - "config": { - "model": "hf", - "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], - "device": null, - "use_cache": null, - "limit": null, - "bootstrap_iters": 100000, - "gen_kwargs": null - }, - "git_hash": "4701655" -} \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 1728e1d39d0059e7dbf0e459bdd002c819bda39a..ae1d210d68467f52abd1f073e495b4d07207fae8 100644 --- a/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:9949fed3026951419aa1c767a76a1b3440f472d6558f8fef542924cfb59f0683 -size 31523 +oid sha256:8657ae46ddd0cf25a00eb531e15232b2a78cf94314916c2ed538cd70cc6e1dc1 +size 53277 diff --git a/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index f20a9b04e42b2aa43383693e5ce4ca522d18ad96..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2b0f05aee63c07c42a77b57d93e5e280e4bbab81ba35bb7333aa69d2d975682f -size 310428 diff --git a/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index a2d7b484eeebf4d0238f79e874d5838c611fcd43..1e35d2cce26b2852e77a2c7fc9131f5b52ff30dd 100644 --- a/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -3,10 +3,10 @@ "mutual": { "r@1,none": 0.22573363431151242, "r@1_stderr,none": 0.014053085820407473, - "r@2,none": 0.417607223476298, - "r@2_stderr,none": 0.016577550348797442, - "mrr,none": 0.6996802124226336, - "mrr_stderr,none": 0.010329677864245292, + "r@2,none": 0.41309255079006774, + "r@2_stderr,none": 0.016551480902963107, + "mrr,none": 0.7007148249020156, + "mrr_stderr,none": 0.010340024636004837, "alias": "mutual" } }, @@ -60,13 +60,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 16 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 5a819bb69d006ef8eeee37dc94ad0e6ab2958849..37bd1001f74641c3230476964a60bdd0db240252 100644 --- a/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:e165fcab4fc265ecc8932c5e463d074e442038f04ef0f17b8417347679a1aa97 -size 17747 +oid sha256:c46dfea34247cea56e1f34c748b81a1976df6663e613dbb9b4d580743140cadd +size 16536 diff --git a/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index b79de1ba570d62bb2bd15830cdb4ac560fdd338b..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c6c078e132a828b875664614d0796c42bc772baa61b8ba351194b60f7ff8758 -size 307646 diff --git a/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 10701754ff55a44ccea40d548efea804ce657459..cd9e5c127ed67915e3da967714e7cf3aa6867300 100644 --- a/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -3,10 +3,10 @@ "mutual_plus": { "r@1,none": 0.2595936794582393, "r@1_stderr,none": 0.014737047402750952, - "r@2,none": 0.4650112866817156, - "r@2_stderr,none": 0.016766114263692605, - "mrr,none": 0.6511474810456583, - "mrr_stderr,none": 0.01044237669999924, + "r@2,none": 0.4672686230248307, + "r@2_stderr,none": 0.016771264669080587, + "mrr,none": 0.6497366458312114, + "mrr_stderr,none": 0.010438626939583338, "alias": "mutual_plus" } }, @@ -60,13 +60,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 16 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index cf20ae43067cdcae512e59d945f8b21ebe099c69..f20ebf231175a890a444f2aa6a316c2baafe4887 100644 --- a/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:cedb1d8a2fabe7eb8fd63e6797555f5d14d8441f98f2b19593d542cc88718719 -size 17823 +oid sha256:ee66366050505cf05624132c996a99e25b2b43492469376dceea9c566ecf9fbe +size 16599 diff --git a/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 0995be40806414dbcaa583405a3c95c600f184bf..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f08cdf3938b7a8de51ea4b9d1f7bac3e766c77273ba5ac9d56263c9ffdd469fe -size 74596 diff --git a/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 59209452b422578f88d4701e24c064044996b69b..72596c9eff0263fa3e9b4d9174993de469dc04f3 100644 --- a/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -3,8 +3,8 @@ "openbookqa": { "acc,none": 0.29, "acc_stderr,none": 0.020313179231745186, - "acc_norm,none": 0.426, - "acc_norm_stderr,none": 0.022136577335085637, + "acc_norm,none": 0.422, + "acc_norm_stderr,none": 0.022109039310618552, "alias": "openbookqa" } }, @@ -52,13 +52,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index ac84f331f749c7b9653955210e249c17c016aeaf..a2fd713549f83faade05a291961e4cc85a617948 100644 --- a/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:bb9052e1c42cab4113478033920af72ff10328c4269868b720ecf15697b802b2 -size 11438 +oid sha256:8bbf154d17a61e29fe21f5c25f50451038275e3de8f973abff210989a9171adc +size 10916 diff --git a/lm-eval-output/allenai/OLMo-7B/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 0011e2864d7e1b75f553d58b68d33e4977070720..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2ab34586b2411fff4f2a2ec92c6bc9395a2a084c71bca9e1329350c2cfb06d0a -size 238790 diff --git a/lm-eval-output/allenai/OLMo-7B/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index c79cbc506f9b64e68780902c2a9270e8e62df627..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - 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"doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_sentential_subject_island": { - "task": "blimp_sentential_subject_island", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "sentential_subject_island", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_superlative_quantifiers_1": { - "task": "blimp_superlative_quantifiers_1", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "superlative_quantifiers_1", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_superlative_quantifiers_2": { - "task": "blimp_superlative_quantifiers_2", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "superlative_quantifiers_2", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_tough_vs_raising_1": { - "task": "blimp_tough_vs_raising_1", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "tough_vs_raising_1", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_tough_vs_raising_2": { - "task": "blimp_tough_vs_raising_2", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "tough_vs_raising_2", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_transitive": { - "task": "blimp_transitive", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "transitive", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_wh_island": { - "task": "blimp_wh_island", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "wh_island", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_wh_questions_object_gap": { - "task": "blimp_wh_questions_object_gap", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "wh_questions_object_gap", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_wh_questions_subject_gap": { - "task": "blimp_wh_questions_subject_gap", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "wh_questions_subject_gap", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_wh_questions_subject_gap_long_distance": { - "task": "blimp_wh_questions_subject_gap_long_distance", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "wh_questions_subject_gap_long_distance", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_wh_vs_that_no_gap": { - "task": "blimp_wh_vs_that_no_gap", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "wh_vs_that_no_gap", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_wh_vs_that_no_gap_long_distance": { - "task": "blimp_wh_vs_that_no_gap_long_distance", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "wh_vs_that_no_gap_long_distance", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_wh_vs_that_with_gap": { - "task": "blimp_wh_vs_that_with_gap", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "wh_vs_that_with_gap", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "blimp_wh_vs_that_with_gap_long_distance": { - "task": "blimp_wh_vs_that_with_gap_long_distance", - "group": "blimp", - "dataset_path": "blimp", - "dataset_name": "wh_vs_that_with_gap_long_distance", - "validation_split": "train", - "doc_to_text": "", - "doc_to_target": 0, - "doc_to_choice": "{{[sentence_good, sentence_bad]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "num_fewshot": 0, - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", - "metadata": { - "version": 1.0 - } - }, - "lambada_openai": { - "task": "lambada_openai", - "group": [ - "lambada" - ], - "dataset_path": "EleutherAI/lambada_openai", - "dataset_name": "default", - "test_split": "test", - "doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}", - "doc_to_target": "{{' '+text.split(' ')[-1]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "perplexity", - "aggregation": "perplexity", - "higher_is_better": false - }, - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "loglikelihood", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{text}}", - "metadata": { - "version": 1.0 - } - }, - "logiqa": { - "task": "logiqa", - "dataset_path": "EleutherAI/logiqa", - "dataset_name": "logiqa", - "training_split": "train", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Passage: \n Question: \n Choices:\n A. \n B. \n C. \n D. \n Answer:\n \"\"\"\n choices = [\"a\", \"b\", \"c\", \"d\"]\n prompt = \"Passage: \" + doc[\"context\"] + \"\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\nChoices:\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"Answer:\"\n return prompt\n", - "doc_to_target": "def doc_to_target(doc) -> int:\n choices = [\"a\", \"b\", \"c\", \"d\"]\n return choices.index(doc[\"label\"].strip())\n", - "doc_to_choice": "{{options}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{context}}", - "metadata": { - "version": 1.0 - } - }, - "mmlu_abstract_algebra": { - "task": "mmlu_abstract_algebra", - "task_alias": "abstract_algebra", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "abstract_algebra", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about abstract algebra.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_anatomy": { - "task": "mmlu_anatomy", - "task_alias": "anatomy", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "anatomy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about anatomy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_astronomy": { - "task": "mmlu_astronomy", - "task_alias": "astronomy", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "astronomy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about astronomy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_business_ethics": { - "task": "mmlu_business_ethics", - "task_alias": "business_ethics", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "business_ethics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about business ethics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_clinical_knowledge": { - "task": "mmlu_clinical_knowledge", - "task_alias": "clinical_knowledge", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "clinical_knowledge", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_biology": { - "task": "mmlu_college_biology", - "task_alias": "college_biology", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_biology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college biology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_chemistry": { - "task": "mmlu_college_chemistry", - "task_alias": "college_chemistry", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_chemistry", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college chemistry.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_computer_science": { - "task": "mmlu_college_computer_science", - "task_alias": "college_computer_science", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_computer_science", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college computer science.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_mathematics": { - "task": "mmlu_college_mathematics", - "task_alias": "college_mathematics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_mathematics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college mathematics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_medicine": { - "task": "mmlu_college_medicine", - "task_alias": "college_medicine", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_medicine", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college medicine.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_college_physics": { - "task": "mmlu_college_physics", - "task_alias": "college_physics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "college_physics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about college physics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_computer_security": { - "task": "mmlu_computer_security", - "task_alias": "computer_security", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "computer_security", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about computer security.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_conceptual_physics": { - "task": "mmlu_conceptual_physics", - "task_alias": "conceptual_physics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "conceptual_physics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about conceptual physics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_econometrics": { - "task": "mmlu_econometrics", - "task_alias": "econometrics", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "econometrics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about econometrics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_electrical_engineering": { - "task": "mmlu_electrical_engineering", - "task_alias": "electrical_engineering", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "electrical_engineering", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about electrical engineering.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_elementary_mathematics": { - "task": "mmlu_elementary_mathematics", - "task_alias": "elementary_mathematics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "elementary_mathematics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about elementary mathematics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_formal_logic": { - "task": "mmlu_formal_logic", - "task_alias": "formal_logic", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "formal_logic", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about formal logic.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_global_facts": { - "task": "mmlu_global_facts", - "task_alias": "global_facts", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "global_facts", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about global facts.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_biology": { - "task": "mmlu_high_school_biology", - "task_alias": "high_school_biology", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_biology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school biology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_chemistry": { - "task": "mmlu_high_school_chemistry", - "task_alias": "high_school_chemistry", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_chemistry", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school chemistry.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_computer_science": { - "task": "mmlu_high_school_computer_science", - "task_alias": "high_school_computer_science", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_computer_science", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school computer science.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_european_history": { - "task": "mmlu_high_school_european_history", - "task_alias": "high_school_european_history", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_european_history", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school european history.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_geography": { - "task": "mmlu_high_school_geography", - "task_alias": "high_school_geography", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_geography", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school geography.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_government_and_politics": { - "task": "mmlu_high_school_government_and_politics", - "task_alias": "high_school_government_and_politics", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_government_and_politics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school government and politics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_macroeconomics": { - "task": "mmlu_high_school_macroeconomics", - "task_alias": "high_school_macroeconomics", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_macroeconomics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school macroeconomics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_mathematics": { - "task": "mmlu_high_school_mathematics", - "task_alias": "high_school_mathematics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_mathematics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_microeconomics": { - "task": "mmlu_high_school_microeconomics", - "task_alias": "high_school_microeconomics", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_microeconomics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school microeconomics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_physics": { - "task": "mmlu_high_school_physics", - "task_alias": "high_school_physics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_physics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school physics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_psychology": { - "task": "mmlu_high_school_psychology", - "task_alias": "high_school_psychology", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_psychology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school psychology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_statistics": { - "task": "mmlu_high_school_statistics", - "task_alias": "high_school_statistics", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_statistics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school statistics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_us_history": { - "task": "mmlu_high_school_us_history", - "task_alias": "high_school_us_history", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_us_history", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school us history.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_high_school_world_history": { - "task": "mmlu_high_school_world_history", - "task_alias": "high_school_world_history", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "high_school_world_history", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about high school world history.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_human_aging": { - "task": "mmlu_human_aging", - "task_alias": "human_aging", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "human_aging", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about human aging.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_human_sexuality": { - "task": "mmlu_human_sexuality", - "task_alias": "human_sexuality", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "human_sexuality", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about human sexuality.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_international_law": { - "task": "mmlu_international_law", - "task_alias": "international_law", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "international_law", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about international law.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_jurisprudence": { - "task": "mmlu_jurisprudence", - "task_alias": "jurisprudence", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "jurisprudence", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about jurisprudence.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_logical_fallacies": { - "task": "mmlu_logical_fallacies", - "task_alias": "logical_fallacies", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "logical_fallacies", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about logical fallacies.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_machine_learning": { - "task": "mmlu_machine_learning", - "task_alias": "machine_learning", - "group": "mmlu_stem", - "group_alias": "stem", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "machine_learning", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about machine learning.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_management": { - "task": "mmlu_management", - "task_alias": "management", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "management", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about management.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_marketing": { - "task": "mmlu_marketing", - "task_alias": "marketing", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "marketing", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about marketing.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_medical_genetics": { - "task": "mmlu_medical_genetics", - "task_alias": "medical_genetics", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "medical_genetics", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about medical genetics.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_miscellaneous": { - "task": "mmlu_miscellaneous", - "task_alias": "miscellaneous", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "miscellaneous", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about miscellaneous.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_moral_disputes": { - "task": "mmlu_moral_disputes", - "task_alias": "moral_disputes", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "moral_disputes", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about moral disputes.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_moral_scenarios": { - "task": "mmlu_moral_scenarios", - "task_alias": "moral_scenarios", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "moral_scenarios", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about moral scenarios.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_nutrition": { - "task": "mmlu_nutrition", - "task_alias": "nutrition", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "nutrition", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about nutrition.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_philosophy": { - "task": "mmlu_philosophy", - "task_alias": "philosophy", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "philosophy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about philosophy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_prehistory": { - "task": "mmlu_prehistory", - "task_alias": "prehistory", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "prehistory", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about prehistory.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_accounting": { - "task": "mmlu_professional_accounting", - "task_alias": "professional_accounting", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_accounting", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional accounting.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_law": { - "task": "mmlu_professional_law", - "task_alias": "professional_law", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_law", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional law.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_medicine": { - "task": "mmlu_professional_medicine", - "task_alias": "professional_medicine", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_medicine", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional medicine.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_professional_psychology": { - "task": "mmlu_professional_psychology", - "task_alias": "professional_psychology", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "professional_psychology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about professional psychology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_public_relations": { - "task": "mmlu_public_relations", - "task_alias": "public_relations", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "public_relations", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about public relations.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_security_studies": { - "task": "mmlu_security_studies", - "task_alias": "security_studies", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "security_studies", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about security studies.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_sociology": { - "task": "mmlu_sociology", - "task_alias": "sociology", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "sociology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about sociology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_us_foreign_policy": { - "task": "mmlu_us_foreign_policy", - "task_alias": "us_foreign_policy", - "group": "mmlu_social_sciences", - "group_alias": "social_sciences", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "us_foreign_policy", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about us foreign policy.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_virology": { - "task": "mmlu_virology", - "task_alias": "virology", - "group": "mmlu_other", - "group_alias": "other", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "virology", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about virology.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "mmlu_world_religions": { - "task": "mmlu_world_religions", - "task_alias": "world_religions", - "group": "mmlu_humanities", - "group_alias": "humanities", - "dataset_path": "hails/mmlu_no_train", - "dataset_name": "world_religions", - "test_split": "test", - "fewshot_split": "dev", - "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", - "doc_to_target": "answer", - "doc_to_choice": [ - "A", - "B", - "C", - "D" - ], - "description": "The following are multiple choice questions (with answers) about world religions.\n\n", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "fewshot_config": { - "sampler": "first_n" - }, - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 0.0 - } - }, - "piqa": { - "task": "piqa", - "dataset_path": "piqa", - "training_split": "train", - "validation_split": "validation", - "doc_to_text": "Question: {{goal}}\nAnswer:", - "doc_to_target": "label", - "doc_to_choice": "{{[sol1, sol2]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "goal", - "metadata": { - "version": 1.0 - } - }, - "sciq": { - "task": "sciq", - "dataset_path": "sciq", - "training_split": "train", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:", - "doc_to_target": 3, - "doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - }, - { - "metric": "acc_norm", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{support}} {{question}}", - "metadata": { - "version": 1.0 - } - }, - "wikitext": { - "task": "wikitext", - "dataset_path": "EleutherAI/wikitext_document_level", - "dataset_name": "wikitext-2-raw-v1", - "training_split": "train", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "", - "doc_to_target": "def wikitext_detokenizer(doc):\n string = doc[\"page\"]\n # contractions\n string = string.replace(\"s '\", \"s'\")\n string = re.sub(r\"/' [0-9]/\", r\"/'[0-9]/\", string)\n # number separators\n string = string.replace(\" @-@ \", \"-\")\n string = string.replace(\" @,@ \", \",\")\n string = string.replace(\" @.@ \", \".\")\n # punctuation\n string = string.replace(\" : \", \": \")\n string = string.replace(\" ; \", \"; \")\n string = string.replace(\" . \", \". \")\n string = string.replace(\" ! \", \"! \")\n string = string.replace(\" ? \", \"? \")\n string = string.replace(\" , \", \", \")\n # double brackets\n string = re.sub(r\"\\(\\s*([^\\)]*?)\\s*\\)\", r\"(\\1)\", string)\n string = re.sub(r\"\\[\\s*([^\\]]*?)\\s*\\]\", r\"[\\1]\", string)\n string = re.sub(r\"{\\s*([^}]*?)\\s*}\", r\"{\\1}\", string)\n string = re.sub(r\"\\\"\\s*([^\\\"]*?)\\s*\\\"\", r'\"\\1\"', string)\n string = re.sub(r\"'\\s*([^']*?)\\s*'\", r\"'\\1'\", string)\n # miscellaneous\n string = string.replace(\"= = = =\", \"====\")\n string = string.replace(\"= = =\", \"===\")\n string = string.replace(\"= =\", \"==\")\n string = string.replace(\" \" + chr(176) + \" \", chr(176))\n string = string.replace(\" \\n\", \"\\n\")\n string = string.replace(\"\\n \", \"\\n\")\n string = string.replace(\" N \", \" 1 \")\n string = string.replace(\" 's\", \"'s\")\n\n return string\n", - "process_results": "def process_results(doc, results):\n (loglikelihood,) = results\n # IMPORTANT: wikitext counts number of words in *original doc before detokenization*\n _words = len(re.split(r\"\\s+\", doc[\"page\"]))\n _bytes = len(doc[\"page\"].encode(\"utf-8\"))\n return {\n \"word_perplexity\": (loglikelihood, _words),\n \"byte_perplexity\": (loglikelihood, _bytes),\n \"bits_per_byte\": (loglikelihood, _bytes),\n }\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "word_perplexity" - }, - { - "metric": "byte_perplexity" - }, - { - "metric": "bits_per_byte" - } - ], - "output_type": "loglikelihood_rolling", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{page}}", - "metadata": { - "version": 2.0 - } - }, - "winogrande": { - "task": "winogrande", - "dataset_path": "winogrande", - "dataset_name": "winogrande_xl", - "training_split": "train", - "validation_split": "validation", - "doc_to_text": "def doc_to_text(doc):\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc):\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "sentence", - "metadata": { - "version": 1.0 - } - }, - "wsc": { - "task": "wsc", - "group": [ - "super-glue-lm-eval-v1" - ], - "dataset_path": "super_glue", - "dataset_name": "wsc.fixed", - "training_split": "train", - "validation_split": "validation", - "doc_to_text": "def default_doc_to_text(x):\n raw_passage = x[\"text\"]\n # NOTE: HuggingFace span indices are word-based not character-based.\n pre = \" \".join(raw_passage.split()[: x[\"span2_index\"]])\n post = raw_passage[len(pre) + len(x[\"span2_text\"]) + 1 :]\n passage = general_detokenize(pre + \" *{}*\".format(x[\"span2_text\"]) + post)\n noun = x[\"span1_text\"]\n pronoun = x[\"span2_text\"]\n text = (\n f\"Passage: {passage}\\n\"\n + f'Question: In the passage above, does the pronoun \"*{pronoun}*\" refer to \"*{noun}*\"?\\n'\n + \"Answer:\"\n )\n return text\n", - "doc_to_target": "label", - "doc_to_choice": [ - "no", - "yes" - ], - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "ai2_arc": "N/A", - "arc_challenge": 1.0, - "arc_easy": 1.0, - "blimp": "N/A", - "blimp_adjunct_island": 1.0, - "blimp_anaphor_gender_agreement": 1.0, - "blimp_anaphor_number_agreement": 1.0, - "blimp_animate_subject_passive": 1.0, - "blimp_animate_subject_trans": 1.0, - "blimp_causative": 1.0, - "blimp_complex_NP_island": 1.0, - "blimp_coordinate_structure_constraint_complex_left_branch": 1.0, - "blimp_coordinate_structure_constraint_object_extraction": 1.0, - "blimp_determiner_noun_agreement_1": 1.0, - "blimp_determiner_noun_agreement_2": 1.0, - "blimp_determiner_noun_agreement_irregular_1": 1.0, - "blimp_determiner_noun_agreement_irregular_2": 1.0, - "blimp_determiner_noun_agreement_with_adj_2": 1.0, - "blimp_determiner_noun_agreement_with_adj_irregular_1": 1.0, - "blimp_determiner_noun_agreement_with_adj_irregular_2": 1.0, - "blimp_determiner_noun_agreement_with_adjective_1": 1.0, - "blimp_distractor_agreement_relational_noun": 1.0, - "blimp_distractor_agreement_relative_clause": 1.0, - "blimp_drop_argument": 1.0, - "blimp_ellipsis_n_bar_1": 1.0, - "blimp_ellipsis_n_bar_2": 1.0, - "blimp_existential_there_object_raising": 1.0, - "blimp_existential_there_quantifiers_1": 1.0, - "blimp_existential_there_quantifiers_2": 1.0, - "blimp_existential_there_subject_raising": 1.0, - "blimp_expletive_it_object_raising": 1.0, - "blimp_inchoative": 1.0, - "blimp_intransitive": 1.0, - "blimp_irregular_past_participle_adjectives": 1.0, - "blimp_irregular_past_participle_verbs": 1.0, - "blimp_irregular_plural_subject_verb_agreement_1": 1.0, - "blimp_irregular_plural_subject_verb_agreement_2": 1.0, - "blimp_left_branch_island_echo_question": 1.0, - "blimp_left_branch_island_simple_question": 1.0, - "blimp_matrix_question_npi_licensor_present": 1.0, - "blimp_npi_present_1": 1.0, - "blimp_npi_present_2": 1.0, - "blimp_only_npi_licensor_present": 1.0, - "blimp_only_npi_scope": 1.0, - "blimp_passive_1": 1.0, - "blimp_passive_2": 1.0, - "blimp_principle_A_c_command": 1.0, - "blimp_principle_A_case_1": 1.0, - "blimp_principle_A_case_2": 1.0, - "blimp_principle_A_domain_1": 1.0, - "blimp_principle_A_domain_2": 1.0, - "blimp_principle_A_domain_3": 1.0, - "blimp_principle_A_reconstruction": 1.0, - "blimp_regular_plural_subject_verb_agreement_1": 1.0, - "blimp_regular_plural_subject_verb_agreement_2": 1.0, - "blimp_sentential_negation_npi_licensor_present": 1.0, - "blimp_sentential_negation_npi_scope": 1.0, - "blimp_sentential_subject_island": 1.0, - "blimp_superlative_quantifiers_1": 1.0, - "blimp_superlative_quantifiers_2": 1.0, - "blimp_tough_vs_raising_1": 1.0, - "blimp_tough_vs_raising_2": 1.0, - "blimp_transitive": 1.0, - "blimp_wh_island": 1.0, - "blimp_wh_questions_object_gap": 1.0, - "blimp_wh_questions_subject_gap": 1.0, - "blimp_wh_questions_subject_gap_long_distance": 1.0, - "blimp_wh_vs_that_no_gap": 1.0, - "blimp_wh_vs_that_no_gap_long_distance": 1.0, - "blimp_wh_vs_that_with_gap": 1.0, - "blimp_wh_vs_that_with_gap_long_distance": 1.0, - "lambada_openai": 1.0, - "logiqa": 1.0, - "mmlu": "N/A", - "mmlu_abstract_algebra": 0.0, - "mmlu_anatomy": 0.0, - "mmlu_astronomy": 0.0, - "mmlu_business_ethics": 0.0, - 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truthfulqa_gen" }, "truthfulqa_mc1": { - "acc,none": 0.24357405140758873, - "acc_stderr,none": 0.01502635482491078, + "acc,none": 0.24479804161566707, + "acc_stderr,none": 0.015051869486714994, "alias": " - truthfulqa_mc1" }, "truthfulqa_mc2": { - "acc,none": 0.35862866048230485, - "acc_stderr,none": 0.013799662858469295, + "acc,none": 0.3582717390780764, + "acc_stderr,none": 0.013793375542640339, "alias": " - truthfulqa_mc2" } }, "groups": { "truthfulqa": { - "acc,none": 0.32027712412406617, - "acc_stderr,none": 0.038859715675549834, - "bleu_max,none": 26.605743093764914, - "bleu_max_stderr,none": 0.6015382486011928, - "bleu_acc,none": 0.29253365973072215, - "bleu_acc_stderr,none": 0.00025362465398930524, - "bleu_diff,none": -9.25287150767902, - "bleu_diff_stderr,none": 0.612111392397556, - "rouge1_max,none": 52.114007973758504, - "rouge1_max_stderr,none": 0.6818812598428838, - "rouge1_acc,none": 0.31211750305997554, - "rouge1_acc_stderr,none": 0.0002631129501759587, - "rouge1_diff,none": -11.370354328482358, - 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"batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 32 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 45620b3f714bdbb9935b528551d5343f1ba6db4e..8c217ec97b25ef8ae8b1ec0e4ee8f593d3ea586e 100644 --- a/lm-eval-output/allenai/OLMo-7B/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:9b2a0027fcbc15193df92e0d950e9e44fd4a023b45893f27b466da67b29f7268 -size 552973 +oid sha256:3cdd673b5f30fa91347fd6659cbed813cd598e41c7d346397d2f59e7a6757095 +size 541738 diff --git a/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 040a6b831b0d588d4d13e5699d56e712d78d82b5..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:53965f3358b53bbc6b4d816f38ad873a41ec2ca933309504b8c2a86d7daa1689 -size 196355 diff --git a/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 50006ec3dd6079e31bcfe6baa07d7cebc29c3252..e04a83763148831b3c0975b290a0735d9f4eb818 100644 --- a/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,8 +1,8 @@ { "results": { "webqs": { - "exact_match,none": 0.030019685039370077, - "exact_match_stderr,none": 0.0037864267909448347, + "exact_match,none": 0.028543307086614175, + "exact_match_stderr,none": 0.0036949528903927557, "alias": "webqs" } }, @@ -46,13 +46,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index e16f3d53cd35707f167654216760d92311275542..5164377ab6e703cc57007843ed5beecc825a64bb 100644 --- a/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:a6809d92f1d0b0300cf31bc66170a0268f98b4689d8bf3b4614490d005ad896b -size 13459 +oid sha256:b0ac9038bece82c8286618ffc86fb6259ec8f99697d97d9ca74219ecfed34078 +size 12449 diff --git a/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 7af7d54203ecb78ab8de9828fdc1fcc280917c76..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4bf1f4d379be7a987c76a55d997c04aeec3cc06ae4af6bf6aa0df9b7fe300ff7 -size 67701 diff --git a/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 227106483928a80698737bd7575091bf4753395d..0e029f27b848c6cf85ccb082c718426687a9e4bb 100644 --- a/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -47,13 +47,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 20af1e3e7e6a0bc3f0320ec1c43907b352d0d146..b00739fcb4662ef6d36fb28587ae6d5c4f3bad26 100644 --- a/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:ad1673980793757c05e9991bd725fa35d88dfa8fb4ee400aa699b88ffc6ac919 -size 13032 +oid sha256:0dcc692e4093c7208765cbeba1f1e471c81ebacc00d239e5880993cd4a47892e +size 15498 diff --git a/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 9d542ab1ecb99436967d1e9031a69b72419445cc..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1c7f2ffae0318110244bd391cb82ba9695e5b3da3e4cfe708a42397332549d9a -size 955600 diff --git a/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index f752a237a6308c7f1a2b3ef406bd8e23ac027125..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,65 +0,0 @@ -{ - "results": { - "wikitext": { - "word_perplexity,none": 11.075255274027937, - "word_perplexity_stderr,none": "N/A", - "byte_perplexity,none": 1.567831445754393, - "byte_perplexity_stderr,none": "N/A", - "bits_per_byte,none": 0.6487704666946622, - "bits_per_byte_stderr,none": "N/A", - "alias": "wikitext" - } - }, - "configs": { - "wikitext": { - "task": "wikitext", - "dataset_path": "EleutherAI/wikitext_document_level", - "dataset_name": "wikitext-2-raw-v1", - "training_split": "train", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "", - "doc_to_target": "def wikitext_detokenizer(doc):\n string = doc[\"page\"]\n # contractions\n string = string.replace(\"s '\", \"s'\")\n string = re.sub(r\"/' [0-9]/\", r\"/'[0-9]/\", string)\n # number separators\n string = string.replace(\" @-@ \", \"-\")\n string = string.replace(\" @,@ \", \",\")\n string = string.replace(\" @.@ \", \".\")\n # punctuation\n string = string.replace(\" : \", \": \")\n string = string.replace(\" ; \", \"; \")\n string = string.replace(\" . \", \". \")\n string = string.replace(\" ! \", \"! \")\n string = string.replace(\" ? \", \"? \")\n string = string.replace(\" , \", \", \")\n # double brackets\n string = re.sub(r\"\\(\\s*([^\\)]*?)\\s*\\)\", r\"(\\1)\", string)\n string = re.sub(r\"\\[\\s*([^\\]]*?)\\s*\\]\", r\"[\\1]\", string)\n string = re.sub(r\"{\\s*([^}]*?)\\s*}\", r\"{\\1}\", string)\n string = re.sub(r\"\\\"\\s*([^\\\"]*?)\\s*\\\"\", r'\"\\1\"', string)\n string = re.sub(r\"'\\s*([^']*?)\\s*'\", r\"'\\1'\", string)\n # miscellaneous\n string = string.replace(\"= = = =\", \"====\")\n string = string.replace(\"= = =\", \"===\")\n string = string.replace(\"= =\", \"==\")\n string = string.replace(\" \" + chr(176) + \" \", chr(176))\n string = string.replace(\" \\n\", \"\\n\")\n string = string.replace(\"\\n \", \"\\n\")\n string = string.replace(\" N \", \" 1 \")\n string = string.replace(\" 's\", \"'s\")\n\n return string\n", - "process_results": "def process_results(doc, results):\n (loglikelihood,) = results\n # IMPORTANT: wikitext counts number of words in *original doc before detokenization*\n _words = len(re.split(r\"\\s+\", doc[\"page\"]))\n _bytes = len(doc[\"page\"].encode(\"utf-8\"))\n return {\n \"word_perplexity\": (loglikelihood, _words),\n \"byte_perplexity\": (loglikelihood, _bytes),\n \"bits_per_byte\": (loglikelihood, _bytes),\n }\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "word_perplexity" - }, - { - "metric": "byte_perplexity" - }, - { - "metric": "bits_per_byte" - } - ], - "output_type": "loglikelihood_rolling", - "repeats": 1, - "should_decontaminate": true, - "doc_to_decontamination_query": "{{page}}", - "metadata": { - "version": 2.0 - } - } - }, - "versions": { - "wikitext": 2.0 - }, - "n-shot": { - "wikitext": 0 - }, - "config": { - "model": "hf", - "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], - "device": null, - "use_cache": null, - "limit": null, - "bootstrap_iters": 100000, - "gen_kwargs": null - }, - "git_hash": "4701655" -} \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 82ce06502d9410b49213e687311276384a7de445..0a4f37b47adf137eeb92eb2d4fc7fe1081024290 100644 --- a/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:1de5b2a6517546aa5cb12e8acdf532ebadb56bdf47c90924c37151ce07a68c2e -size 18418 +oid sha256:e38a0a649d9a08386022bd2f889edc7a0a87a5f643be6aae3d2657f3111b0018 +size 53894 diff --git a/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 772e5ec95a4662037d94da5ee36101f2c691e57c..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f607cbe7ac37a9cdf68d527736362a26dc68b13df6dc9a49de11e88d3c494fd1 -size 138033 diff --git a/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index e22cdb7a166f68ae8699e8b0a8af30235c0c3642..bf73aeae82bf50e2fc3ac63eedf8ec9e04126b47 100644 --- a/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,8 +1,8 @@ { "results": { "winogrande": { - "acc,none": 0.6629834254143646, - "acc_stderr,none": 0.01328495576939525, + "acc,none": 0.6748224151539068, + "acc_stderr,none": 0.013165525471764358, "alias": "winogrande" } }, @@ -44,13 +44,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 8ab3b1f769f76d10d313b4909455c2c3f654711a..f27e427af5b8fa7bd3a2e3df4edf683caab8917d 100644 --- a/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:0d426c615e740d84fe4d109ef0236e0a36b94f0039f8c9e2bca2d006c14fa187 -size 11800 +oid sha256:82d8d2ee281e36572544eb6174f104d3b90983584b04ecef207dc32e35a489af +size 10912 diff --git a/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 59f7523fb445bce729790f2e7ceb82ac937fab0e..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8b42c76e9a5da6a9298c06437242b5c75aea3f25e6ae539367829ffab808da84 -size 8059 diff --git a/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index c647bfa102dd87db8c9ccb3bc3f168d18feaddf1..940e2b026f320b063630167cc0ef1997cb1b8871 100644 --- a/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -45,13 +45,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 32 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index d01351983d4cf7825d4894cbce5e7af8d54c2dfe..0fdf465e562401c7606294d5ea324f4e44d6a79c 100644 --- a/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:fc57ca4254e08c2155cd6189c777f6bd4da185c075c2b1e9e9fb1b5debc643c0 -size 12145 +oid sha256:e7122c21522d0a1cc22c4b891770ba5613448f0eb6feeec43e6d30d3f5a4f1b1 +size 14221 diff --git a/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 83ffdeb76ff46cfc67e89190435eb2cf97835eb2..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:af0cb5672ef31bf7a8429df773324b9de323b5eb50680bf45db8d0d39b0bf04a -size 11036 diff --git a/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index 8c3b87da38eefd7dc560bed19a1330502e14ec59..533d3e7f14a2de745f57387317a4fbdeee3fdcf9 100644 --- a/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,8 +1,8 @@ { "results": { "wsc": { - "acc,none": 0.38461538461538464, - "acc_stderr,none": 0.047936688680750406, + "acc,none": 0.3942307692307692, + "acc_stderr,none": 0.048151547759907105, "alias": "wsc" } }, @@ -47,13 +47,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index 8cb70488c789e6ee7ea7e290a26bcea14065f0bb..c39059059ea3721e66a723efcf46b02043ec5b7c 100644 --- a/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:4bf6a6447a388f2ac4bd86e725be1b907f27d32e45881c2e296472bb140311b7 -size 12178 +oid sha256:a3f008f9377b22030b9df7a0fddfb21eea1a3d36acfbe120abf324dc432bf5b3 +size 12869 diff --git a/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 71039f8d9d1f026d249c65de4590e304b9ab7007..0000000000000000000000000000000000000000 --- a/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3efb2ba2f2b80febfe3c2ebd2232de7f6e2af2e0fc7e4e26294590bfca0e37d7 -size 32913 diff --git a/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json index a3f5eea66ee8900fc9140ff4d9bcdd0fe0f7c1f3..dd8dbf8d239d3b605089bfd6a930e570a1c89487 100644 --- a/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ b/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json @@ -1,8 +1,8 @@ { "results": { "wsc273": { - "acc,none": 0.8424908424908425, - "acc_stderr,none": 0.02208772806150052, + "acc,none": 0.8498168498168498, + "acc_stderr,none": 0.021661514699106647, "alias": "wsc273" } }, @@ -44,13 +44,15 @@ "config": { "model": "hf", "model_args": "pretrained=allenai/OLMo-7B,dtype=bfloat16,trust_remote_code=True", - "batch_size": "2", - "batch_sizes": [], + "batch_size": "auto", + "batch_sizes": [ + 64 + ], "device": null, "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null }, - "git_hash": "4701655" + "git_hash": "2e3ceb0" } \ No newline at end of file diff --git a/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log index c50cdc20f0f2cb3260da25bbb62f42fcc4e5dce6..efdc9a3dcc53110b820f8d7c6209b4490f17dd9f 100644 --- a/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ b/lm-eval-output/allenai/OLMo-7B/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:81e3c7380f748a5f7aeb3bbdc1d580b1b1f37edde35ba4e8ce4e6f63192448cc -size 13051 +oid sha256:33cfb78a2df98c8c9e1b80a3641815beb7e8b5a562e0e8b615347058b3a8257f +size 13440 diff --git a/lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz b/lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz deleted file mode 100644 index 828312185ef1840804eeb4372c180f2c85de445f..0000000000000000000000000000000000000000 --- a/lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:319c68639bb05b6b985fcda887079637990b8c047b287314efc58672da605b83 -size 5205695 diff --git a/lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json deleted file mode 100644 index 153562307bc09d7dacfca69a8e53242892f2f648..0000000000000000000000000000000000000000 --- a/lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +++ /dev/null @@ -1,252 +0,0 @@ -{ - "results": { - "lambada_multilingual": { - "perplexity,none": 131.45396740665825, - "perplexity_stderr,none": 95.28024178884175, - "acc,none": 0.38490199883562976, - "acc_stderr,none": 0.07608898792977997, - "alias": "lambada_multilingual" - }, - "lambada_openai_mt_de": { - "perplexity,none": 370.91952810475857, - "perplexity_stderr,none": 24.98299339282566, - "acc,none": 0.23015718998641568, - "acc_stderr,none": 0.0058644241714399855, - "alias": " - lambada_openai_mt_de" - }, - "lambada_openai_mt_en": { - "perplexity,none": 6.583236525584539, - "perplexity_stderr,none": 0.17481189179976453, - "acc,none": 0.5717058024451775, - "acc_stderr,none": 0.0068939712541951454, - "alias": " - lambada_openai_mt_en" - }, - "lambada_openai_mt_es": { - "perplexity,none": 51.02874715706533, - "perplexity_stderr,none": 2.6341920857292744, - "acc,none": 0.36638851154667185, - "acc_stderr,none": 0.0067126579546010565, - "alias": " - lambada_openai_mt_es" - }, - "lambada_openai_mt_fr": { - "perplexity,none": 29.56217917543056, - 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"doc_to_target": "label", - "doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xcopa_ta": { - "task": "xcopa_ta", - "group": "xcopa", - "dataset_path": "xcopa", - "dataset_name": "ta", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "functools.partial(, connector={'cause': 'காரணமாக', 'effect': 'எனவே'})", - "doc_to_target": "label", - "doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xcopa_th": { - "task": "xcopa_th", - "group": "xcopa", - "dataset_path": "xcopa", - "dataset_name": "th", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "functools.partial(, connector={'cause': 'เพราะ', 'effect': 'ดังนั้น'})", - "doc_to_target": "label", - "doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xcopa_tr": { - "task": "xcopa_tr", - "group": "xcopa", - "dataset_path": "xcopa", - "dataset_name": "tr", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "functools.partial(, connector={'cause': 'çünkü', 'effect': 'bu yüzden'})", - "doc_to_target": "label", - "doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xcopa_vi": { - "task": "xcopa_vi", - "group": "xcopa", - "dataset_path": "xcopa", - "dataset_name": "vi", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "functools.partial(, connector={'cause': 'bởi vì', 'effect': 'vì vậy'})", - "doc_to_target": "label", - "doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xcopa_zh": { - "task": "xcopa_zh", - "group": "xcopa", - "dataset_path": "xcopa", - "dataset_name": "zh", - "validation_split": "validation", - "test_split": "test", - "doc_to_text": "functools.partial(, connector={'cause': '因为', 'effect': '所以'})", - "doc_to_target": "label", - "doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc" - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "xcopa": "N/A", - "xcopa_et": 1.0, - "xcopa_ht": 1.0, - "xcopa_id": 1.0, - "xcopa_it": 1.0, - "xcopa_qu": 1.0, - "xcopa_sw": 1.0, - "xcopa_ta": 1.0, - "xcopa_th": 1.0, - "xcopa_tr": 1.0, - "xcopa_vi": 1.0, - "xcopa_zh": 1.0 - }, - "n-shot": { - 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"alias": "xwinograd" - } - }, - "configs": { - "xwinograd_en": { - "task": "xwinograd_en", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "en", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_fr": { - "task": "xwinograd_fr", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "fr", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_jp": { - "task": "xwinograd_jp", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "jp", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_pt": { - "task": "xwinograd_pt", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "pt", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_ru": { - "task": "xwinograd_ru", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "ru", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - }, - "xwinograd_zh": { - "task": "xwinograd_zh", - "group": [ - "xwinograd" - ], - "dataset_path": "Muennighoff/xwinograd", - "dataset_name": "zh", - "test_split": "test", - "doc_to_text": "def doc_to_text(doc: Dict) -> int:\n \"\"\"\n Return index of the correct choice.\n\n Note: We are using the \"multiple input\" mode of the multiple-choice\n output-type, which means we use different contexts with the same target\n for the different choices, rather than the same context and different targets.\n \"\"\"\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", - "doc_to_target": "def doc_to_target(doc: Dict) -> str:\n \"\"\"\n Return the target completion.\n\n Note that this does not depend on the correct choice as we are using\n \"multiple input\" mode.\n \"\"\"\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", - "doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return the choices that will be used as contexts in \"multiple input\" mode.\"\"\"\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", - "description": "", - "target_delimiter": " ", - "fewshot_delimiter": "\n\n", - "metric_list": [ - { - "metric": "acc", - "aggregation": "mean", - "higher_is_better": true - } - ], - "output_type": "multiple_choice", - "repeats": 1, - "should_decontaminate": false, - "metadata": { - "version": 1.0 - } - } - }, - "versions": { - "xwinograd": "N/A", - "xwinograd_en": 1.0, - "xwinograd_fr": 1.0, - "xwinograd_jp": 1.0, - "xwinograd_pt": 1.0, - "xwinograd_ru": 1.0, - "xwinograd_zh": 1.0 - }, - "n-shot": { - "xwinograd": 0, - "xwinograd_en": 0, - "xwinograd_fr": 0, - "xwinograd_jp": 0, - "xwinograd_pt": 0, - "xwinograd_ru": 0, - "xwinograd_zh": 0 - }, - "config": { - "model": "hf", - "model_args": "pretrained=bigscience/bloom-7b1,dtype=bfloat16,trust_remote_code=True", - "batch_size": "auto", - "batch_sizes": [ - 32 - ], - "device": null, - "use_cache": null, - "limit": null, - "bootstrap_iters": 100000, - "gen_kwargs": null - }, - "git_hash": "2c0a875" -} \ No newline at end of file diff --git a/lm-eval-output/bloom-7b1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/bloom-7b1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log deleted file mode 100644 index a8c4abae15d1687cadb6e93f5e409f01480abe6a..0000000000000000000000000000000000000000 --- a/lm-eval-output/bloom-7b1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:740f9d4172026e8ac9f919a971a6e456d06f9e51ba04fead1deb156409e23c74 -size 36676