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Upload EleutherAI/pythia-410m/step_143000 with huggingface_hub

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  1. EleutherAI/pythia-410m/step_143000 +33 -26
EleutherAI/pythia-410m/step_143000 CHANGED
@@ -1,27 +1,28 @@
1
  {
2
  "results": {
3
- "winogrande": {
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- "alias": "winogrande",
5
- "acc,none": 0.5327545382794001,
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- "acc_stderr,none": 0.014022300570434139
 
 
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  }
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  },
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  "group_subtasks": {
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- "winogrande": []
11
  },
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  "configs": {
13
- "winogrande": {
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- "task": "winogrande",
15
- "dataset_path": "winogrande",
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- "dataset_name": "winogrande_xl",
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  "dataset_kwargs": {
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  "trust_remote_code": true
19
  },
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  "training_split": "train",
21
  "validation_split": "validation",
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- "doc_to_text": "def doc_to_text(doc):\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n",
23
- "doc_to_target": "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n",
24
- "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",
25
  "description": "",
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  "target_delimiter": " ",
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  "fewshot_delimiter": "\n\n",
@@ -31,32 +32,38 @@
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  "metric": "acc",
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  "aggregation": "mean",
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  "higher_is_better": true
 
 
 
 
 
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  }
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  ],
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  "output_type": "multiple_choice",
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  "repeats": 1,
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  "should_decontaminate": true,
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- "doc_to_decontamination_query": "sentence",
40
  "metadata": {
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  "version": 1.0
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  }
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  }
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  },
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  "versions": {
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- "winogrande": 1.0
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  },
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  "n-shot": {
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- "winogrande": 0
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  },
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  "higher_is_better": {
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- "winogrande": {
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- "acc": true
 
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  }
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  },
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  "n-samples": {
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- "winogrande": {
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- "original": 1267,
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- "effective": 1267
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  }
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  },
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  "config": {
@@ -79,9 +86,9 @@
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  "fewshot_seed": 1234
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  },
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  "git_hash": "2fea05a",
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- "date": 1730392586.512742,
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- "pretty_env_info": "PyTorch version: 2.5.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.3 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: 14.0.0-1ubuntu1.1\nCMake version: version 3.30.5\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-6.1.85+-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.2.140\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: GPU 0: Tesla T4\nNvidia driver version: 535.104.05\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture: x86_64\nCPU op-mode(s): 32-bit, 64-bit\nAddress sizes: 46 bits physical, 48 bits virtual\nByte Order: Little Endian\nCPU(s): 2\nOn-line CPU(s) list: 0,1\nVendor ID: GenuineIntel\nModel name: Intel(R) Xeon(R) CPU @ 2.00GHz\nCPU family: 6\nModel: 85\nThread(s) per core: 2\nCore(s) per socket: 1\nSocket(s): 1\nStepping: 3\nBogoMIPS: 4000.40\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat md_clear arch_capabilities\nHypervisor vendor: KVM\nVirtualization type: full\nL1d cache: 32 KiB (1 instance)\nL1i cache: 32 KiB (1 instance)\nL2 cache: 1 MiB (1 instance)\nL3 cache: 38.5 MiB (1 instance)\nNUMA node(s): 1\nNUMA node0 CPU(s): 0,1\nVulnerability Gather data sampling: Not affected\nVulnerability Itlb multihit: Not affected\nVulnerability L1tf: Mitigation; PTE Inversion\nVulnerability Mds: Vulnerable; SMT Host state unknown\nVulnerability Meltdown: Vulnerable\nVulnerability Mmio stale data: Vulnerable\nVulnerability Reg file data sampling: Not affected\nVulnerability Retbleed: Vulnerable\nVulnerability Spec rstack overflow: Not affected\nVulnerability Spec store bypass: Vulnerable\nVulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers\nVulnerability Spectre v2: Vulnerable; IBPB: disabled; STIBP: disabled; PBRSB-eIBRS: Not affected; BHI: Vulnerable (Syscall hardening enabled)\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Vulnerable\n\nVersions of relevant libraries:\n[pip3] mypy==1.13.0\n[pip3] mypy-extensions==1.0.0\n[pip3] numpy==1.26.4\n[pip3] optree==0.13.0\n[pip3] torch==2.5.0+cu121\n[pip3] torchaudio==2.5.0+cu121\n[pip3] torchsummary==1.5.1\n[pip3] torchvision==0.20.0+cu121\n[conda] Could not collect",
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- "transformers_version": "4.44.2",
85
  "upper_git_hash": null,
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  "tokenizer_pad_token": [
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  "<|endoftext|>",
@@ -106,7 +113,7 @@
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  "fewshot_as_multiturn": false,
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  "chat_template": null,
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  "chat_template_sha": null,
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- "start_time": 1704.755622767,
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- "end_time": 1746.890508313,
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- "total_evaluation_time_seconds": "42.13488554600008"
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  }
 
1
  {
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  "results": {
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+ "piqa": {
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+ "alias": "piqa",
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+ "acc,none": 0.6670293797606094,
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+ "acc_stderr,none": 0.010995648822619082,
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+ "acc_norm,none": 0.6719260065288357,
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+ "acc_norm_stderr,none": 0.010954487135124227
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  }
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  },
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  "group_subtasks": {
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+ "piqa": []
13
  },
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  "configs": {
15
+ "piqa": {
16
+ "task": "piqa",
17
+ "dataset_path": "piqa",
 
18
  "dataset_kwargs": {
19
  "trust_remote_code": true
20
  },
21
  "training_split": "train",
22
  "validation_split": "validation",
23
+ "doc_to_text": "Question: {{goal}}\nAnswer:",
24
+ "doc_to_target": "label",
25
+ "doc_to_choice": "{{[sol1, sol2]}}",
26
  "description": "",
27
  "target_delimiter": " ",
28
  "fewshot_delimiter": "\n\n",
 
32
  "metric": "acc",
33
  "aggregation": "mean",
34
  "higher_is_better": true
35
+ },
36
+ {
37
+ "metric": "acc_norm",
38
+ "aggregation": "mean",
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+ "higher_is_better": true
40
  }
41
  ],
42
  "output_type": "multiple_choice",
43
  "repeats": 1,
44
  "should_decontaminate": true,
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+ "doc_to_decontamination_query": "goal",
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  "metadata": {
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  "version": 1.0
48
  }
49
  }
50
  },
51
  "versions": {
52
+ "piqa": 1.0
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  },
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  "n-shot": {
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+ "piqa": 0
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  },
57
  "higher_is_better": {
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+ "piqa": {
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+ "acc": true,
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+ "acc_norm": true
61
  }
62
  },
63
  "n-samples": {
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+ "piqa": {
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+ "original": 1838,
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+ "effective": 1838
67
  }
68
  },
69
  "config": {
 
86
  "fewshot_seed": 1234
87
  },
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  "git_hash": "2fea05a",
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+ "date": 1731708979.2864854,
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+ "pretty_env_info": "PyTorch version: 2.5.1+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.3 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: 14.0.0-1ubuntu1.1\nCMake version: version 3.30.5\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-6.1.85+-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.2.140\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: GPU 0: NVIDIA A100-SXM4-40GB\nNvidia driver version: 535.104.05\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture: x86_64\nCPU op-mode(s): 32-bit, 64-bit\nAddress sizes: 46 bits physical, 48 bits virtual\nByte Order: Little Endian\nCPU(s): 12\nOn-line CPU(s) list: 0-11\nVendor ID: GenuineIntel\nModel name: Intel(R) Xeon(R) CPU @ 2.20GHz\nCPU family: 6\nModel: 85\nThread(s) per core: 2\nCore(s) per socket: 6\nSocket(s): 1\nStepping: 7\nBogoMIPS: 4400.38\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities\nHypervisor vendor: KVM\nVirtualization type: full\nL1d cache: 192 KiB (6 instances)\nL1i cache: 192 KiB (6 instances)\nL2 cache: 6 MiB (6 instances)\nL3 cache: 38.5 MiB (1 instance)\nNUMA node(s): 1\nNUMA node0 CPU(s): 0-11\nVulnerability Gather data sampling: Not affected\nVulnerability Itlb multihit: Not affected\nVulnerability L1tf: Not affected\nVulnerability Mds: Not affected\nVulnerability Meltdown: Not affected\nVulnerability Mmio stale data: Vulnerable\nVulnerability Reg file data sampling: Not affected\nVulnerability Retbleed: Vulnerable\nVulnerability Spec rstack overflow: Not affected\nVulnerability Spec store bypass: Vulnerable\nVulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers\nVulnerability Spectre v2: Vulnerable; IBPB: disabled; STIBP: disabled; PBRSB-eIBRS: Vulnerable; BHI: Vulnerable (Syscall hardening enabled)\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Vulnerable\n\nVersions of relevant libraries:\n[pip3] mypy==1.13.0\n[pip3] mypy-extensions==1.0.0\n[pip3] numpy==1.26.4\n[pip3] optree==0.13.1\n[pip3] torch==2.5.1+cu121\n[pip3] torchaudio==2.5.1+cu121\n[pip3] torchsummary==1.5.1\n[pip3] torchvision==0.20.1+cu121\n[conda] Could not collect",
91
+ "transformers_version": "4.46.2",
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  "upper_git_hash": null,
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  "tokenizer_pad_token": [
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  "<|endoftext|>",
 
113
  "fewshot_as_multiturn": false,
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  "chat_template": null,
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  "chat_template_sha": null,
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+ "start_time": 2869.2465161,
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+ "end_time": 2912.671513131,
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+ "total_evaluation_time_seconds": "43.4249970310002"
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  }