Adding aggregated results for meta-llama/Llama-3.2-1B-Instruct

meta-llama/Llama-3.2-1B-Instruct/results_2025-01-03T14-36-17.409528.json

@@ -0,0 +1,128 @@
+{
+  "results": {
+    "hellaswag": {
+      "alias": "hellaswag",
+      "acc,none": 0.45160326628161723,
+      "acc_stderr,none": 0.004966351835028115,
+      "acc_norm,none": 0.6069508066122287,
+      "acc_norm_stderr,none": 0.004874293964843622
+    }
+  },
+  "group_subtasks": {
+    "hellaswag": []
+  },
+  "configs": {
+    "hellaswag": {
+      "task": "hellaswag",
+      "tag": [
+        "multiple_choice"
+      ],
+      "dataset_path": "hellaswag",
+      "dataset_kwargs": {
+        "trust_remote_code": true
+      },
+      "training_split": "train",
+      "validation_split": "validation",
+      "process_docs": "def process_docs(dataset: datasets.Dataset) -> datasets.Dataset:\n    def _process_doc(doc):\n        ctx = doc[\"ctx_a\"] + \" \" + doc[\"ctx_b\"].capitalize()\n        out_doc = {\n            \"query\": preprocess(doc[\"activity_label\"] + \": \" + ctx),\n            \"choices\": [preprocess(ending) for ending in doc[\"endings\"]],\n            \"gold\": int(doc[\"label\"]),\n        }\n        return out_doc\n\n    return dataset.map(_process_doc)\n",
+      "doc_to_text": "{{query}}",
+      "doc_to_target": "{{label}}",
+      "doc_to_choice": "choices",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "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": {
+    "hellaswag": 1.0
+  },
+  "n-shot": {
+    "hellaswag": 0
+  },
+  "higher_is_better": {
+    "hellaswag": {
+      "acc": true,
+      "acc_norm": true
+    }
+  },
+  "n-samples": {
+    "hellaswag": {
+      "original": 10042,
+      "effective": 10042
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=meta-llama/Llama-3.2-1B-Instruct",
+    "model_num_parameters": 1235814400,
+    "model_dtype": "torch.bfloat16",
+    "model_revision": "main",
+    "model_sha": "9213176726f574b556790deb65791e0c5aa438b6",
+    "batch_size": "auto:4",
+    "batch_sizes": [
+      64,
+      64,
+      64,
+      64,
+      64
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null,
+    "random_seed": 0,
+    "numpy_seed": 1234,
+    "torch_seed": 1234,
+    "fewshot_seed": 1234
+  },
+  "git_hash": null,
+  "date": 1735886016.667044,
+  "pretty_env_info": "'NoneType' object has no attribute 'splitlines'",
+  "transformers_version": "4.47.1",
+  "upper_git_hash": null,
+  "tokenizer_pad_token": [
+    "<|eot_id|>",
+    "128009"
+  ],
+  "tokenizer_eos_token": [
+    "<|eot_id|>",
+    "128009"
+  ],
+  "tokenizer_bos_token": [
+    "<|begin_of_text|>",
+    "128000"
+  ],
+  "eot_token_id": 128009,
+  "max_length": 131072,
+  "task_hashes": {},
+  "model_source": "hf",
+  "model_name": "meta-llama/Llama-3.2-1B-Instruct",
+  "model_name_sanitized": "meta-llama__Llama-3.2-1B-Instruct",
+  "system_instruction": null,
+  "system_instruction_sha": null,
+  "fewshot_as_multiturn": false,
+  "chat_template": null,
+  "chat_template_sha": null,
+  "start_time": 579608.290218523,
+  "end_time": 579773.021729166,
+  "total_evaluation_time_seconds": "164.73151064303238"
+}