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more evals
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- compile-results.ipynb +79 -501
- lm-eval-output/RWKV/v6-Finch-7B-HF/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +30 -30
- lm-eval-output/RWKV/v6-Finch-7B-HF/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/m8than/Finch-14B-Continued-10/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +132 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/anli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/anli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +161 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/anli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +2249 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +0 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/copa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/copa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +58 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/copa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +374 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/hellaswag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/hellaswag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +67 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/hellaswag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +126 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +252 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +66 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +2594 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +66 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/openbookqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +283 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +64 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +0 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/record/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/m8than/Finch-14B-Continued-10/record/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +67 -0
compile-results.ipynb
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"Defaulting to user installation because normal site-packages is not writeable\n",
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"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 24.
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"Found
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"['mistralai/Mistral-7B-Instruct-v0.2', 'mistralai/Mistral-7B-v0.1', 'mosaicml/mpt-7b-instruct', 'mosaicml/mpt-7b', 'mosaicml/mpt-7b-chat', 'bigscience/bloom-7b1', 'bigscience/bloomz-7b1-mt', 'bigscience/bloomz-7b1', 'EleutherAI/pythia-2.8b', 'EleutherAI/pythia-1.4b', 'EleutherAI/gpt-j-6b', 'EleutherAI/pythia-6.9b', 'google/flan-t5-base', 'google/gemma-2b', 'google/gemma-2b-it', 'google/gemma-7b', 'google/gemma-7b-it', 'google/flan-t5-large', 'microsoft/phi-1_5', 'microsoft/phi-2', 'microsoft/phi-1', 'allenai/OLMo-7B', 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'RWKV/rwkv-5-world-1b5', 'RWKV/rwkv-5-world-3b', 'RWKV/rwkv-4-world-3b', 'RWKV/rwkv-6-world-1b6', 'RWKV/rwkv-4-world-1b5', 'RWKV/v5-Eagle-7B-HF', 'RWKV/rwkv-4-world-7b', 'RWKV/rwkv-raven-7b', 'RWKV/rwkv-6-world-3b', 'aisingapore/sealion7b', 'aisingapore/sealion3b', './rwkv-x-dev/1_3-C5-rwkv-270_pth', './rwkv-x-dev/225-EagleX-PreFT-C', './rwkv-x-dev/225-EagleX-PreFT-D', './rwkv-x-dev/1_0_pth', './rwkv-x-dev/chunk4-0_85_pth', './rwkv-x-dev/1_3-C1-rwkv-340_pth', './rwkv-x-dev/chunk1-0_8_pth', './rwkv-x-dev/chunk0-0_8_pth', './rwkv-x-dev/225-EagleX-PreFT-E', './rwkv-x-dev/225-EagleX-PreFT-B', './rwkv-x-dev/blink4-final_pth', './rwkv-x-dev/chunk2-0_8_pth', './rwkv-x-dev/chunk3-0_8_pth', './rwkv-x-dev/r3-4k-test2-fix3-blink-final_pth', './rwkv-x-dev/R4-7B-15t-With-Mask_pth', './rwkv-x-dev/r3-testchunk-1-8_pth', './rwkv-x-dev/R4-with-shuffle-rwkv-53_pth', './rwkv-x-dev/chunk7-2-0_85_pth', './rwkv-x-dev/EagleX-1_7T_pth', './rwkv-x-dev/r3-testchunk2-blink-fixed_pth', './rwkv-x-dev/r3-testchunk2-blink_pth', './rwkv-x-dev/rwkv-230_pth', './rwkv-x-dev/1_3-C0-rwkv-60_pth', './rwkv-x-dev/chunk5-0_85_pth', './rwkv-x-dev/R4-7B-Base-No-Mask_pth', './rwkv-x-dev/RWKV-5-World-1B5-v2-20231025-ctx4096', './rwkv-x-dev/R4-1B5-No-Mask_pth', './rwkv-x-dev/RWKV-32K-5B-RW_pth', './rwkv-x-dev/R4-7B-15t-32k-No-Mask_pth', './rwkv-x-dev/1_3-C0-PRERUN-rwkv-60_pth', './rwkv-x-dev/EagleX_1-7T_Chat_pth', './rwkv-x-dev/1_3-C1-rwkv-390_pth', './rwkv-x-dev/1_3-C1-rwkv-20_pth', './rwkv-x-dev/chunk8-1-0_85_pth', './rwkv-x-dev/R4-7B-Base-32k-No-Mask_pth', './rwkv-x-dev/R4-no-shuffle-rwkv-53_pth', './rwkv-x-dev/1_3-C2-rwkv-648_pth', './rwkv-x-dev/1_3-C2-rwkv-250_pth', './rwkv-x-dev/r3-testchunk-1-8-no-cuda-with-warmup_pth', './rwkv-x-dev/1_3-C0-rwkv-140_pth', './rwkv-x-dev/Eagle-225-1FT', './rwkv-x-dev/225-EagleX-PreFT-A', './rwkv-x-dev/225-EagleX-PreFT-F', './rwkv-x-dev/r3-c1-8_pth', './rwkv-x-dev/1_3-C0-PRERUN-rwkv-450_pth', './rwkv-x-dev/RWKV-5-World-3B-v2-20231118-ctx16k', './rwkv-x-dev/1_3-C0-PREPRERUN-rwkv-40_pth', './rwkv-x-dev/RWKV-5-World-7B-v2-20240128-ctx4096', './rwkv-x-dev/R4-7B-15t-No-Mask_pth', './rwkv-x-dev/1_0-c1-290_pth', './rwkv-x-dev/R4-1B5-With-Mask_pth', './rwkv-x-dev/Quetzal-N8-1', './rwkv-x-dev/1_3-C0-PREPRERUN-rwkv-30_pth', './rwkv-x-dev/1_3-C0-rwkv-70_pth', './rwkv-x-dev/chunk6-0_85_pth', './rwkv-x-dev/R4-7B-Base-With-Mask_pth', 'rwkv-x-dev/v5-Eagle-7B-1_0T-HF', './rwkv-x-dev/1_3-C0-PRERUN-rwkv-30_pth', './rwkv-x-dev/chunk7-1-0_85_pth', './rwkv-x-dev/1_3-C1-rwkv-190_pth', './rwkv-x-dev/R4-7B-15t-extd-e3_pth', './rwkv-x-dev/r3-testchunk2_pth', './rwkv-x-dev/Hermes-RWKV-v5-7B_pth', './rwkv-x-dev/1_3-C0-rwkv-153_pth', './rwkv-x-dev/R4-7B-15t-extd-e2_pth', './rwkv-x-dev/r3-testchunk-blink_pth', 'SmerkyG/rwkv-5-world-1b5', 'SmerkyG/rwkv6-world-1b6', 'SmerkyG/rwkv6-world-3b', 'SmerkyG/rwkv-5-world-3b', 'SmerkyG/rwkv-5-world-7b', 'SmerkyG/rwkv5-world-7b', 'togethercomputer/RedPajama-INCITE-7B-Base', 'togethercomputer/RedPajama-INCITE-7B-Instruct', 'togethercomputer/RedPajama-INCITE-7B-Chat', 'facebook/opt-2.7b', 'facebook/opt-6.7b', 'facebook/opt-1.3b', 'tiiuae/falcon-7b-instruct', 'tiiuae/falcon-rw-1b', 'tiiuae/falcon-rw-7b', 'tiiuae/falcon-7b', 'TimeMobius/Mobius-RWKV-Chat-12B-128k-v4-HF', 'huggyllama/llama-7b', 'meta-llama/Llama-2-7b-chat-hf', 'meta-llama/Llama-2-7b-hf', 'state-spaces/mamba-2.8b-hf', 'state-spaces/mamba-1.4b-hf']\n",
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"Saved to compiled-lm-eval-results.json\n"
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]
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}
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{
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" <td>0.047059</td>\n",
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" </tr>\n",
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" <td>bigscience/bloomz-7b1-mt</td>\n",
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" <td>0.546000</td>\n",
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" <td>0.547818</td>\n",
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" <td>0.038920</td>\n",
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" <td>0.547818</td>\n",
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" <td>0.038920</td>\n",
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" </tr>\n",
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" <th>8</th>\n",
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" <td>EleutherAI/pythia-2.8b</td>\n",
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" <td>0.537455</td>\n",
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" <td>0.026941</td>\n",
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" <td>0.537455</td>\n",
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" <th>9</th>\n",
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" <td>EleutherAI/pythia-1.4b</td>\n",
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" <td>0.526545</td>\n",
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" <td>0.027441</td>\n",
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" <th>10</th>\n",
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" <td>EleutherAI/gpt-j-6b</td>\n",
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" <td>0.544182</td>\n",
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" <td>0.034404</td>\n",
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" <td>0.544182</td>\n",
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" <td>0.034404</td>\n",
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" </tr>\n",
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" <th>11</th>\n",
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| 324 |
-
" <td>EleutherAI/pythia-6.9b</td>\n",
|
| 325 |
-
" <td>0.540545</td>\n",
|
| 326 |
-
" <td>0.029689</td>\n",
|
| 327 |
-
" <td>0.540545</td>\n",
|
| 328 |
-
" <td>0.029689</td>\n",
|
| 329 |
-
" </tr>\n",
|
| 330 |
-
" <tr>\n",
|
| 331 |
-
" <th>12</th>\n",
|
| 332 |
-
" <td>google/flan-t5-base</td>\n",
|
| 333 |
-
" <td>0.510909</td>\n",
|
| 334 |
-
" <td>0.006743</td>\n",
|
| 335 |
-
" <td>0.510909</td>\n",
|
| 336 |
-
" <td>0.006743</td>\n",
|
| 337 |
-
" </tr>\n",
|
| 338 |
-
" <tr>\n",
|
| 339 |
-
" <th>13</th>\n",
|
| 340 |
-
" <td>google/gemma-2b</td>\n",
|
| 341 |
-
" <td>0.000000</td>\n",
|
| 342 |
-
" <td>0.000000</td>\n",
|
| 343 |
-
" <td>NaN</td>\n",
|
| 344 |
-
" <td>NaN</td>\n",
|
| 345 |
" </tr>\n",
|
| 346 |
" <tr>\n",
|
| 347 |
-
" <th>
|
| 348 |
-
" <td>google/gemma-2b-it</td>\n",
|
| 349 |
-
" <td>0.000000</td>\n",
|
| 350 |
-
" <td>0.000000</td>\n",
|
| 351 |
-
" <td>NaN</td>\n",
|
| 352 |
-
" <td>NaN</td>\n",
|
| 353 |
-
" </tr>\n",
|
| 354 |
-
" <tr>\n",
|
| 355 |
-
" <th>15</th>\n",
|
| 356 |
-
" <td>google/gemma-7b</td>\n",
|
| 357 |
-
" <td>0.517636</td>\n",
|
| 358 |
-
" <td>0.006740</td>\n",
|
| 359 |
-
" <td>0.517636</td>\n",
|
| 360 |
-
" <td>0.006740</td>\n",
|
| 361 |
-
" </tr>\n",
|
| 362 |
-
" <tr>\n",
|
| 363 |
-
" <th>16</th>\n",
|
| 364 |
-
" <td>google/gemma-7b-it</td>\n",
|
| 365 |
-
" <td>0.517455</td>\n",
|
| 366 |
-
" <td>0.006742</td>\n",
|
| 367 |
-
" <td>0.517455</td>\n",
|
| 368 |
-
" <td>0.006742</td>\n",
|
| 369 |
-
" </tr>\n",
|
| 370 |
-
" <tr>\n",
|
| 371 |
-
" <th>17</th>\n",
|
| 372 |
-
" <td>google/flan-t5-large</td>\n",
|
| 373 |
-
" <td>0.510545</td>\n",
|
| 374 |
-
" <td>0.006743</td>\n",
|
| 375 |
-
" <td>0.510545</td>\n",
|
| 376 |
-
" <td>0.006743</td>\n",
|
| 377 |
-
" </tr>\n",
|
| 378 |
-
" <tr>\n",
|
| 379 |
-
" <th>18</th>\n",
|
| 380 |
-
" <td>microsoft/phi-1_5</td>\n",
|
| 381 |
-
" <td>0.521636</td>\n",
|
| 382 |
-
" <td>0.026198</td>\n",
|
| 383 |
-
" <td>0.521636</td>\n",
|
| 384 |
-
" <td>0.026198</td>\n",
|
| 385 |
-
" </tr>\n",
|
| 386 |
-
" <tr>\n",
|
| 387 |
-
" <th>19</th>\n",
|
| 388 |
-
" <td>microsoft/phi-2</td>\n",
|
| 389 |
-
" <td>0.512182</td>\n",
|
| 390 |
-
" <td>0.029742</td>\n",
|
| 391 |
-
" <td>0.512182</td>\n",
|
| 392 |
-
" <td>0.029742</td>\n",
|
| 393 |
-
" </tr>\n",
|
| 394 |
-
" <tr>\n",
|
| 395 |
-
" <th>20</th>\n",
|
| 396 |
-
" <td>microsoft/phi-1</td>\n",
|
| 397 |
-
" <td>0.517636</td>\n",
|
| 398 |
-
" <td>0.029612</td>\n",
|
| 399 |
-
" <td>0.517636</td>\n",
|
| 400 |
-
" <td>0.029612</td>\n",
|
| 401 |
-
" </tr>\n",
|
| 402 |
-
" <tr>\n",
|
| 403 |
-
" <th>21</th>\n",
|
| 404 |
-
" <td>allenai/OLMo-7B</td>\n",
|
| 405 |
-
" <td>0.537818</td>\n",
|
| 406 |
-
" <td>0.034147</td>\n",
|
| 407 |
-
" <td>0.537818</td>\n",
|
| 408 |
-
" <td>0.034147</td>\n",
|
| 409 |
-
" </tr>\n",
|
| 410 |
-
" <tr>\n",
|
| 411 |
-
" <th>22</th>\n",
|
| 412 |
-
" <td>TinyLlama/TinyLlama-1.1B-intermediate-step-143...</td>\n",
|
| 413 |
-
" <td>0.529273</td>\n",
|
| 414 |
-
" <td>0.029316</td>\n",
|
| 415 |
-
" <td>0.529273</td>\n",
|
| 416 |
-
" <td>0.029316</td>\n",
|
| 417 |
-
" </tr>\n",
|
| 418 |
-
" <tr>\n",
|
| 419 |
-
" <th>23</th>\n",
|
| 420 |
-
" <td>TinyLlama/TinyLlama-1.1B-Chat-v1.0</td>\n",
|
| 421 |
-
" <td>0.528909</td>\n",
|
| 422 |
-
" <td>0.031702</td>\n",
|
| 423 |
-
" <td>0.528909</td>\n",
|
| 424 |
-
" <td>0.031702</td>\n",
|
| 425 |
-
" </tr>\n",
|
| 426 |
-
" <tr>\n",
|
| 427 |
-
" <th>24</th>\n",
|
| 428 |
-
" <td>RWKV/rwkv-5-world-1b5</td>\n",
|
| 429 |
-
" <td>0.578909</td>\n",
|
| 430 |
-
" <td>0.044635</td>\n",
|
| 431 |
-
" <td>0.578909</td>\n",
|
| 432 |
-
" <td>0.044635</td>\n",
|
| 433 |
-
" </tr>\n",
|
| 434 |
-
" <tr>\n",
|
| 435 |
-
" <th>25</th>\n",
|
| 436 |
-
" <td>RWKV/rwkv-5-world-3b</td>\n",
|
| 437 |
-
" <td>0.590000</td>\n",
|
| 438 |
-
" <td>0.057252</td>\n",
|
| 439 |
-
" <td>0.590000</td>\n",
|
| 440 |
-
" <td>0.057252</td>\n",
|
| 441 |
-
" </tr>\n",
|
| 442 |
-
" <tr>\n",
|
| 443 |
-
" <th>26</th>\n",
|
| 444 |
-
" <td>RWKV/rwkv-4-world-3b</td>\n",
|
| 445 |
-
" <td>0.575455</td>\n",
|
| 446 |
-
" <td>0.040977</td>\n",
|
| 447 |
-
" <td>0.575455</td>\n",
|
| 448 |
-
" <td>0.040977</td>\n",
|
| 449 |
-
" </tr>\n",
|
| 450 |
-
" <tr>\n",
|
| 451 |
-
" <th>27</th>\n",
|
| 452 |
-
" <td>RWKV/rwkv-4-world-1b5</td>\n",
|
| 453 |
-
" <td>0.554000</td>\n",
|
| 454 |
-
" <td>0.039406</td>\n",
|
| 455 |
-
" <td>0.554000</td>\n",
|
| 456 |
-
" <td>0.039406</td>\n",
|
| 457 |
-
" </tr>\n",
|
| 458 |
-
" <tr>\n",
|
| 459 |
-
" <th>28</th>\n",
|
| 460 |
-
" <td>RWKV/v5-Eagle-7B-HF</td>\n",
|
| 461 |
-
" <td>0.622364</td>\n",
|
| 462 |
-
" <td>0.070563</td>\n",
|
| 463 |
-
" <td>0.622364</td>\n",
|
| 464 |
-
" <td>0.070563</td>\n",
|
| 465 |
-
" </tr>\n",
|
| 466 |
-
" <tr>\n",
|
| 467 |
-
" <th>29</th>\n",
|
| 468 |
-
" <td>RWKV/rwkv-4-world-7b</td>\n",
|
| 469 |
-
" <td>0.601455</td>\n",
|
| 470 |
-
" <td>0.053116</td>\n",
|
| 471 |
-
" <td>0.601455</td>\n",
|
| 472 |
-
" <td>0.053116</td>\n",
|
| 473 |
-
" </tr>\n",
|
| 474 |
-
" <tr>\n",
|
| 475 |
-
" <th>30</th>\n",
|
| 476 |
-
" <td>aisingapore/sealion7b</td>\n",
|
| 477 |
-
" <td>0.559818</td>\n",
|
| 478 |
-
" <td>0.060680</td>\n",
|
| 479 |
-
" <td>0.559818</td>\n",
|
| 480 |
-
" <td>0.060680</td>\n",
|
| 481 |
-
" </tr>\n",
|
| 482 |
-
" <tr>\n",
|
| 483 |
-
" <th>31</th>\n",
|
| 484 |
-
" <td>aisingapore/sealion3b</td>\n",
|
| 485 |
-
" <td>0.559273</td>\n",
|
| 486 |
-
" <td>0.054490</td>\n",
|
| 487 |
-
" <td>0.559273</td>\n",
|
| 488 |
-
" <td>0.054490</td>\n",
|
| 489 |
-
" </tr>\n",
|
| 490 |
-
" <tr>\n",
|
| 491 |
-
" <th>32</th>\n",
|
| 492 |
-
" <td>rwkv-x-dev/v5-Eagle-7B-1_0T-HF</td>\n",
|
| 493 |
-
" <td>0.622364</td>\n",
|
| 494 |
-
" <td>0.072168</td>\n",
|
| 495 |
-
" <td>0.622364</td>\n",
|
| 496 |
-
" <td>0.072168</td>\n",
|
| 497 |
-
" </tr>\n",
|
| 498 |
-
" <tr>\n",
|
| 499 |
-
" <th>33</th>\n",
|
| 500 |
-
" <td>SmerkyG/rwkv-5-world-1b5</td>\n",
|
| 501 |
-
" <td>0.578727</td>\n",
|
| 502 |
-
" <td>0.044247</td>\n",
|
| 503 |
-
" <td>0.578727</td>\n",
|
| 504 |
-
" <td>0.044247</td>\n",
|
| 505 |
-
" </tr>\n",
|
| 506 |
-
" <tr>\n",
|
| 507 |
-
" <th>34</th>\n",
|
| 508 |
-
" <td>SmerkyG/rwkv6-world-1b6</td>\n",
|
| 509 |
-
" <td>0.579636</td>\n",
|
| 510 |
-
" <td>0.052056</td>\n",
|
| 511 |
-
" <td>0.579636</td>\n",
|
| 512 |
-
" <td>0.052056</td>\n",
|
| 513 |
-
" </tr>\n",
|
| 514 |
-
" <tr>\n",
|
| 515 |
-
" <th>35</th>\n",
|
| 516 |
-
" <td>SmerkyG/rwkv6-world-3b</td>\n",
|
| 517 |
-
" <td>0.595273</td>\n",
|
| 518 |
-
" <td>0.061039</td>\n",
|
| 519 |
-
" <td>0.595273</td>\n",
|
| 520 |
-
" <td>0.061039</td>\n",
|
| 521 |
-
" </tr>\n",
|
| 522 |
-
" <tr>\n",
|
| 523 |
-
" <th>36</th>\n",
|
| 524 |
-
" <td>SmerkyG/rwkv-5-world-3b</td>\n",
|
| 525 |
-
" <td>0.590182</td>\n",
|
| 526 |
-
" <td>0.059748</td>\n",
|
| 527 |
-
" <td>0.590182</td>\n",
|
| 528 |
-
" <td>0.059748</td>\n",
|
| 529 |
-
" </tr>\n",
|
| 530 |
-
" <tr>\n",
|
| 531 |
-
" <th>37</th>\n",
|
| 532 |
-
" <td>SmerkyG/rwkv-5-world-7b</td>\n",
|
| 533 |
-
" <td>0.621818</td>\n",
|
| 534 |
-
" <td>0.071125</td>\n",
|
| 535 |
-
" <td>0.621818</td>\n",
|
| 536 |
-
" <td>0.071125</td>\n",
|
| 537 |
-
" </tr>\n",
|
| 538 |
-
" <tr>\n",
|
| 539 |
-
" <th>38</th>\n",
|
| 540 |
-
" <td>SmerkyG/rwkv5-world-7b</td>\n",
|
| 541 |
-
" <td>0.000000</td>\n",
|
| 542 |
-
" <td>0.000000</td>\n",
|
| 543 |
-
" <td>NaN</td>\n",
|
| 544 |
-
" <td>NaN</td>\n",
|
| 545 |
-
" </tr>\n",
|
| 546 |
-
" <tr>\n",
|
| 547 |
-
" <th>39</th>\n",
|
| 548 |
-
" <td>togethercomputer/RedPajama-INCITE-7B-Base</td>\n",
|
| 549 |
-
" <td>0.525455</td>\n",
|
| 550 |
-
" <td>0.036407</td>\n",
|
| 551 |
-
" <td>0.525455</td>\n",
|
| 552 |
-
" <td>0.036407</td>\n",
|
| 553 |
-
" </tr>\n",
|
| 554 |
-
" <tr>\n",
|
| 555 |
-
" <th>40</th>\n",
|
| 556 |
-
" <td>togethercomputer/RedPajama-INCITE-7B-Instruct</td>\n",
|
| 557 |
-
" <td>0.528545</td>\n",
|
| 558 |
-
" <td>0.036470</td>\n",
|
| 559 |
-
" <td>0.528545</td>\n",
|
| 560 |
-
" <td>0.036470</td>\n",
|
| 561 |
-
" </tr>\n",
|
| 562 |
-
" <tr>\n",
|
| 563 |
-
" <th>41</th>\n",
|
| 564 |
-
" <td>togethercomputer/RedPajama-INCITE-7B-Chat</td>\n",
|
| 565 |
-
" <td>0.535455</td>\n",
|
| 566 |
-
" <td>0.038723</td>\n",
|
| 567 |
-
" <td>0.535455</td>\n",
|
| 568 |
-
" <td>0.038723</td>\n",
|
| 569 |
-
" </tr>\n",
|
| 570 |
-
" <tr>\n",
|
| 571 |
-
" <th>42</th>\n",
|
| 572 |
-
" <td>facebook/opt-2.7b</td>\n",
|
| 573 |
-
" <td>0.521818</td>\n",
|
| 574 |
-
" <td>0.029821</td>\n",
|
| 575 |
-
" <td>0.521818</td>\n",
|
| 576 |
-
" <td>0.029821</td>\n",
|
| 577 |
-
" </tr>\n",
|
| 578 |
-
" <tr>\n",
|
| 579 |
-
" <th>43</th>\n",
|
| 580 |
-
" <td>facebook/opt-6.7b</td>\n",
|
| 581 |
-
" <td>0.522909</td>\n",
|
| 582 |
-
" <td>0.027216</td>\n",
|
| 583 |
-
" <td>0.522909</td>\n",
|
| 584 |
-
" <td>0.027216</td>\n",
|
| 585 |
-
" </tr>\n",
|
| 586 |
-
" <tr>\n",
|
| 587 |
-
" <th>44</th>\n",
|
| 588 |
-
" <td>facebook/opt-1.3b</td>\n",
|
| 589 |
-
" <td>0.521818</td>\n",
|
| 590 |
-
" <td>0.029112</td>\n",
|
| 591 |
-
" <td>0.521818</td>\n",
|
| 592 |
-
" <td>0.029112</td>\n",
|
| 593 |
-
" </tr>\n",
|
| 594 |
-
" <tr>\n",
|
| 595 |
-
" <th>45</th>\n",
|
| 596 |
-
" <td>tiiuae/falcon-7b-instruct</td>\n",
|
| 597 |
-
" <td>0.536727</td>\n",
|
| 598 |
-
" <td>0.053430</td>\n",
|
| 599 |
-
" <td>0.536727</td>\n",
|
| 600 |
-
" <td>0.053430</td>\n",
|
| 601 |
-
" </tr>\n",
|
| 602 |
-
" <tr>\n",
|
| 603 |
-
" <th>46</th>\n",
|
| 604 |
-
" <td>tiiuae/falcon-rw-1b</td>\n",
|
| 605 |
-
" <td>0.522545</td>\n",
|
| 606 |
-
" <td>0.029446</td>\n",
|
| 607 |
-
" <td>0.522545</td>\n",
|
| 608 |
-
" <td>0.029446</td>\n",
|
| 609 |
-
" </tr>\n",
|
| 610 |
-
" <tr>\n",
|
| 611 |
-
" <th>47</th>\n",
|
| 612 |
-
" <td>tiiuae/falcon-rw-7b</td>\n",
|
| 613 |
-
" <td>0.535818</td>\n",
|
| 614 |
-
" <td>0.033185</td>\n",
|
| 615 |
-
" <td>0.535818</td>\n",
|
| 616 |
-
" <td>0.033185</td>\n",
|
| 617 |
-
" </tr>\n",
|
| 618 |
-
" <tr>\n",
|
| 619 |
-
" <th>48</th>\n",
|
| 620 |
-
" <td>tiiuae/falcon-7b</td>\n",
|
| 621 |
-
" <td>0.559636</td>\n",
|
| 622 |
-
" <td>0.071650</td>\n",
|
| 623 |
-
" <td>0.559636</td>\n",
|
| 624 |
-
" <td>0.071650</td>\n",
|
| 625 |
-
" </tr>\n",
|
| 626 |
-
" <tr>\n",
|
| 627 |
-
" <th>49</th>\n",
|
| 628 |
" <td>huggyllama/llama-7b</td>\n",
|
| 629 |
" <td>0.541818</td>\n",
|
| 630 |
" <td>0.040718</td>\n",
|
|
@@ -632,7 +288,7 @@
|
|
| 632 |
" <td>0.040718</td>\n",
|
| 633 |
" </tr>\n",
|
| 634 |
" <tr>\n",
|
| 635 |
-
" <th>
|
| 636 |
" <td>meta-llama/Llama-2-7b-chat-hf</td>\n",
|
| 637 |
" <td>0.559818</td>\n",
|
| 638 |
" <td>0.054954</td>\n",
|
|
@@ -640,7 +296,7 @@
|
|
| 640 |
" <td>0.054954</td>\n",
|
| 641 |
" </tr>\n",
|
| 642 |
" <tr>\n",
|
| 643 |
-
" <th>
|
| 644 |
" <td>meta-llama/Llama-2-7b-hf</td>\n",
|
| 645 |
" <td>0.566727</td>\n",
|
| 646 |
" <td>0.052515</td>\n",
|
|
@@ -648,7 +304,7 @@
|
|
| 648 |
" <td>0.052515</td>\n",
|
| 649 |
" </tr>\n",
|
| 650 |
" <tr>\n",
|
| 651 |
-
" <th>
|
| 652 |
" <td>state-spaces/mamba-2.8b-hf</td>\n",
|
| 653 |
" <td>0.552909</td>\n",
|
| 654 |
" <td>0.035570</td>\n",
|
|
@@ -656,7 +312,7 @@
|
|
| 656 |
" <td>0.035570</td>\n",
|
| 657 |
" </tr>\n",
|
| 658 |
" <tr>\n",
|
| 659 |
-
" <th>
|
| 660 |
" <td>state-spaces/mamba-1.4b-hf</td>\n",
|
| 661 |
" <td>0.544182</td>\n",
|
| 662 |
" <td>0.031390</td>\n",
|
|
@@ -665,123 +321,40 @@
|
|
| 665 |
" </tr>\n",
|
| 666 |
" </tbody>\n",
|
| 667 |
"</table>\n",
|
|
|
|
| 668 |
"</div>"
|
| 669 |
],
|
| 670 |
"text/plain": [
|
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-
"
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"
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"
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| 681 |
-
"
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| 682 |
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"
|
| 683 |
-
"11 EleutherAI/pythia-6.9b 0.540545 \n",
|
| 684 |
-
"12 google/flan-t5-base 0.510909 \n",
|
| 685 |
-
"13 google/gemma-2b 0.000000 \n",
|
| 686 |
-
"14 google/gemma-2b-it 0.000000 \n",
|
| 687 |
-
"15 google/gemma-7b 0.517636 \n",
|
| 688 |
-
"16 google/gemma-7b-it 0.517455 \n",
|
| 689 |
-
"17 google/flan-t5-large 0.510545 \n",
|
| 690 |
-
"18 microsoft/phi-1_5 0.521636 \n",
|
| 691 |
-
"19 microsoft/phi-2 0.512182 \n",
|
| 692 |
-
"20 microsoft/phi-1 0.517636 \n",
|
| 693 |
-
"21 allenai/OLMo-7B 0.537818 \n",
|
| 694 |
-
"22 TinyLlama/TinyLlama-1.1B-intermediate-step-143... 0.529273 \n",
|
| 695 |
-
"23 TinyLlama/TinyLlama-1.1B-Chat-v1.0 0.528909 \n",
|
| 696 |
-
"24 RWKV/rwkv-5-world-1b5 0.578909 \n",
|
| 697 |
-
"25 RWKV/rwkv-5-world-3b 0.590000 \n",
|
| 698 |
-
"26 RWKV/rwkv-4-world-3b 0.575455 \n",
|
| 699 |
-
"27 RWKV/rwkv-4-world-1b5 0.554000 \n",
|
| 700 |
-
"28 RWKV/v5-Eagle-7B-HF 0.622364 \n",
|
| 701 |
-
"29 RWKV/rwkv-4-world-7b 0.601455 \n",
|
| 702 |
-
"30 aisingapore/sealion7b 0.559818 \n",
|
| 703 |
-
"31 aisingapore/sealion3b 0.559273 \n",
|
| 704 |
-
"32 rwkv-x-dev/v5-Eagle-7B-1_0T-HF 0.622364 \n",
|
| 705 |
-
"33 SmerkyG/rwkv-5-world-1b5 0.578727 \n",
|
| 706 |
-
"34 SmerkyG/rwkv6-world-1b6 0.579636 \n",
|
| 707 |
-
"35 SmerkyG/rwkv6-world-3b 0.595273 \n",
|
| 708 |
-
"36 SmerkyG/rwkv-5-world-3b 0.590182 \n",
|
| 709 |
-
"37 SmerkyG/rwkv-5-world-7b 0.621818 \n",
|
| 710 |
-
"38 SmerkyG/rwkv5-world-7b 0.000000 \n",
|
| 711 |
-
"39 togethercomputer/RedPajama-INCITE-7B-Base 0.525455 \n",
|
| 712 |
-
"40 togethercomputer/RedPajama-INCITE-7B-Instruct 0.528545 \n",
|
| 713 |
-
"41 togethercomputer/RedPajama-INCITE-7B-Chat 0.535455 \n",
|
| 714 |
-
"42 facebook/opt-2.7b 0.521818 \n",
|
| 715 |
-
"43 facebook/opt-6.7b 0.522909 \n",
|
| 716 |
-
"44 facebook/opt-1.3b 0.521818 \n",
|
| 717 |
-
"45 tiiuae/falcon-7b-instruct 0.536727 \n",
|
| 718 |
-
"46 tiiuae/falcon-rw-1b 0.522545 \n",
|
| 719 |
-
"47 tiiuae/falcon-rw-7b 0.535818 \n",
|
| 720 |
-
"48 tiiuae/falcon-7b 0.559636 \n",
|
| 721 |
-
"49 huggyllama/llama-7b 0.541818 \n",
|
| 722 |
-
"50 meta-llama/Llama-2-7b-chat-hf 0.559818 \n",
|
| 723 |
-
"51 meta-llama/Llama-2-7b-hf 0.566727 \n",
|
| 724 |
-
"52 state-spaces/mamba-2.8b-hf 0.552909 \n",
|
| 725 |
-
"53 state-spaces/mamba-1.4b-hf 0.544182 \n",
|
| 726 |
"\n",
|
| 727 |
-
"
|
| 728 |
-
"0
|
| 729 |
-
"1
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"13 0.000000 NaN NaN \n",
|
| 742 |
-
"14 0.000000 NaN NaN \n",
|
| 743 |
-
"15 0.006740 0.517636 0.006740 \n",
|
| 744 |
-
"16 0.006742 0.517455 0.006742 \n",
|
| 745 |
-
"17 0.006743 0.510545 0.006743 \n",
|
| 746 |
-
"18 0.026198 0.521636 0.026198 \n",
|
| 747 |
-
"19 0.029742 0.512182 0.029742 \n",
|
| 748 |
-
"20 0.029612 0.517636 0.029612 \n",
|
| 749 |
-
"21 0.034147 0.537818 0.034147 \n",
|
| 750 |
-
"22 0.029316 0.529273 0.029316 \n",
|
| 751 |
-
"23 0.031702 0.528909 0.031702 \n",
|
| 752 |
-
"24 0.044635 0.578909 0.044635 \n",
|
| 753 |
-
"25 0.057252 0.590000 0.057252 \n",
|
| 754 |
-
"26 0.040977 0.575455 0.040977 \n",
|
| 755 |
-
"27 0.039406 0.554000 0.039406 \n",
|
| 756 |
-
"28 0.070563 0.622364 0.070563 \n",
|
| 757 |
-
"29 0.053116 0.601455 0.053116 \n",
|
| 758 |
-
"30 0.060680 0.559818 0.060680 \n",
|
| 759 |
-
"31 0.054490 0.559273 0.054490 \n",
|
| 760 |
-
"32 0.072168 0.622364 0.072168 \n",
|
| 761 |
-
"33 0.044247 0.578727 0.044247 \n",
|
| 762 |
-
"34 0.052056 0.579636 0.052056 \n",
|
| 763 |
-
"35 0.061039 0.595273 0.061039 \n",
|
| 764 |
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"36 0.059748 0.590182 0.059748 \n",
|
| 765 |
-
"37 0.071125 0.621818 0.071125 \n",
|
| 766 |
-
"38 0.000000 NaN NaN \n",
|
| 767 |
-
"39 0.036407 0.525455 0.036407 \n",
|
| 768 |
-
"40 0.036470 0.528545 0.036470 \n",
|
| 769 |
-
"41 0.038723 0.535455 0.038723 \n",
|
| 770 |
-
"42 0.029821 0.521818 0.029821 \n",
|
| 771 |
-
"43 0.027216 0.522909 0.027216 \n",
|
| 772 |
-
"44 0.029112 0.521818 0.029112 \n",
|
| 773 |
-
"45 0.053430 0.536727 0.053430 \n",
|
| 774 |
-
"46 0.029446 0.522545 0.029446 \n",
|
| 775 |
-
"47 0.033185 0.535818 0.033185 \n",
|
| 776 |
-
"48 0.071650 0.559636 0.071650 \n",
|
| 777 |
-
"49 0.040718 0.541818 0.040718 \n",
|
| 778 |
-
"50 0.054954 0.559818 0.054954 \n",
|
| 779 |
-
"51 0.052515 0.566727 0.052515 \n",
|
| 780 |
-
"52 0.035570 0.552909 0.035570 \n",
|
| 781 |
-
"53 0.031390 0.544182 0.031390 "
|
| 782 |
]
|
| 783 |
},
|
| 784 |
-
"execution_count":
|
| 785 |
"metadata": {},
|
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"output_type": "execute_result"
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}
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@@ -982,32 +555,32 @@
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},
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{
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"cell_type": "code",
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-
"execution_count":
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
|
| 990 |
"output_type": "stream",
|
| 991 |
"text": [
|
| 992 |
-
"total
|
| 993 |
-
"-rw-r--r--@ 1 picocreator staff 1.
|
| 994 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 995 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 996 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 997 |
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"-rw-r--r--@ 1 picocreator staff 1.
|
| 998 |
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"-rw-r--r--@ 1 picocreator staff
|
| 999 |
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"-rw-r--r--@ 1 picocreator staff
|
| 1000 |
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"-rw-r--r--@ 1 picocreator staff
|
| 1001 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 1002 |
-
"-rw-r--r--@ 1 picocreator staff 1.
|
| 1003 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 1004 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 1005 |
-
"-rw-r--r-- 1 picocreator staff
|
| 1006 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 1007 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 1008 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 1009 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 1010 |
-
"-rw-r--r--@ 1 picocreator staff
|
| 1011 |
]
|
| 1012 |
}
|
| 1013 |
],
|
|
@@ -1018,6 +591,11 @@
|
|
| 1018 |
"#\n",
|
| 1019 |
"##################################################\n",
|
| 1020 |
"\n",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1021 |
"# Overall results\n",
|
| 1022 |
"all_results = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=[\"*\"], inResults=[\"*\"] )\n",
|
| 1023 |
"all_results.to_csv('summary/bf16-all-results-and-groups.csv', index=False)\n",
|
|
@@ -1043,7 +621,7 @@
|
|
| 1043 |
"multilang_grp_sorted.to_csv('summary/bf16-sorted-multilang-summary.csv', index=False)\n",
|
| 1044 |
"\n",
|
| 1045 |
"# RWKV perf tracking\n",
|
| 1046 |
-
"rwkv_multilang_grp_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=multiLang_tGrps, inResults=[], exModels=[], inModels=
|
| 1047 |
"rwkv_multilang_grp_sorted.to_csv('summary/rwkv-x-dev-bf16-sorted-multilang-summary.csv', index=False)\n",
|
| 1048 |
"\n",
|
| 1049 |
"# All other results\n",
|
|
@@ -1071,11 +649,11 @@
|
|
| 1071 |
"eng_focus_sorted.to_csv('summary/bf16-sorted-eng-focus.csv', index=False)\n",
|
| 1072 |
"\n",
|
| 1073 |
"# RWKV perf tracking\n",
|
| 1074 |
-
"rwkv_eng_focus_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=eng_focus_tGrps, inResults=eng_focus_tTest, exModels=[], inModels=
|
| 1075 |
"rwkv_eng_focus_sorted.to_csv('summary/rwkv-x-dev-bf16-sorted-eng-focus.csv', index=False)\n",
|
| 1076 |
"\n",
|
| 1077 |
"# RWKV perf tracking\n",
|
| 1078 |
-
"rwkv_eng_all_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=[\"*\"], inResults=[\"*\"], exModels=[], inModels=
|
| 1079 |
"rwkv_eng_all_sorted.to_csv('summary/rwkv-x-dev-bf16-sorted-eng-all.csv', index=False)\n",
|
| 1080 |
"\n",
|
| 1081 |
"# # Overall results\n",
|
|
@@ -1088,7 +666,7 @@
|
|
| 1088 |
},
|
| 1089 |
{
|
| 1090 |
"cell_type": "code",
|
| 1091 |
-
"execution_count":
|
| 1092 |
"metadata": {},
|
| 1093 |
"outputs": [],
|
| 1094 |
"source": [
|
|
|
|
| 2 |
"cells": [
|
| 3 |
{
|
| 4 |
"cell_type": "code",
|
| 5 |
+
"execution_count": 43,
|
| 6 |
"metadata": {},
|
| 7 |
"outputs": [
|
| 8 |
{
|
|
|
|
| 11 |
"text": [
|
| 12 |
"Defaulting to user installation because normal site-packages is not writeable\n",
|
| 13 |
"Requirement already satisfied: pandas in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (2.2.0)\n",
|
|
|
|
|
|
|
| 14 |
"Requirement already satisfied: pytz>=2020.1 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (2024.1)\n",
|
| 15 |
+
"Requirement already satisfied: numpy<2,>=1.22.4 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (1.26.1)\n",
|
| 16 |
"Requirement already satisfied: tzdata>=2022.7 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (2024.1)\n",
|
| 17 |
+
"Requirement already satisfied: python-dateutil>=2.8.2 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (2.8.2)\n",
|
| 18 |
"Requirement already satisfied: six>=1.5 in /Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from python-dateutil>=2.8.2->pandas) (1.15.0)\n",
|
| 19 |
+
"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 24.1.2 is available.\n",
|
| 20 |
"You should consider upgrading via the '/Library/Developer/CommandLineTools/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
|
| 21 |
]
|
| 22 |
}
|
|
|
|
| 36 |
},
|
| 37 |
{
|
| 38 |
"cell_type": "code",
|
| 39 |
+
"execution_count": 44,
|
| 40 |
"metadata": {},
|
| 41 |
"outputs": [
|
| 42 |
{
|
| 43 |
"name": "stdout",
|
| 44 |
"output_type": "stream",
|
| 45 |
"text": [
|
| 46 |
+
"Found 6042 results.json files\n"
|
| 47 |
]
|
| 48 |
}
|
| 49 |
],
|
|
|
|
| 71 |
},
|
| 72 |
{
|
| 73 |
"cell_type": "code",
|
| 74 |
+
"execution_count": 45,
|
| 75 |
"metadata": {},
|
| 76 |
"outputs": [
|
| 77 |
{
|
|
|
|
| 156 |
},
|
| 157 |
{
|
| 158 |
"cell_type": "code",
|
| 159 |
+
"execution_count": 46,
|
| 160 |
"metadata": {},
|
| 161 |
"outputs": [
|
| 162 |
{
|
| 163 |
"name": "stdout",
|
| 164 |
"output_type": "stream",
|
| 165 |
"text": [
|
| 166 |
+
"Found 130 models\n",
|
| 167 |
"Models: \n",
|
| 168 |
+
"['mistralai/Mistral-7B-Instruct-v0.2', 'mistralai/Mistral-7B-v0.1', 'mosaicml/mpt-7b-instruct', 'mosaicml/mpt-7b', 'mosaicml/mpt-7b-chat', 'bigscience/bloom-7b1', 'bigscience/bloomz-7b1-mt', 'bigscience/bloomz-7b1', 'EleutherAI/pythia-2.8b', 'EleutherAI/pythia-1.4b', 'EleutherAI/gpt-j-6b', 'EleutherAI/pythia-6.9b', 'google/flan-t5-base', 'google/gemma-2b', 'google/gemma-2b-it', 'google/gemma-7b', 'google/gemma-7b-it', 'google/flan-t5-large', 'microsoft/phi-1_5', 'microsoft/phi-2', 'microsoft/phi-1', 'allenai/OLMo-7B', 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'RWKV/rwkv-5-world-1b5', 'RWKV/rwkv-5-world-3b', 'RWKV/rwkv-4-world-3b', 'RWKV/v5-EagleX-v2-7B-HF', 'RWKV/rwkv-6-world-1b6', 'RWKV/rwkv-4-world-1b5', 'RWKV/v5-Eagle-7B-HF', 'RWKV/v6-Finch-7B-HF', 'RWKV/rwkv-6-world-3b-v2.1', 'RWKV/rwkv-4-world-7b', 'RWKV/v6-Finch-14B-HF', 'RWKV/rwkv-raven-7b', 'RWKV/rwkv-6-world-3b', 'aisingapore/sealion7b', 'aisingapore/sealion3b', './rwkv-x-dev/1_3-C5-rwkv-270_pth', './rwkv-x-dev/225-EagleX-PreFT-C', './rwkv-x-dev/225-EagleX-PreFT-D', './rwkv-x-dev/1_0_pth', './rwkv-x-dev/chunk4-0_85_pth', './rwkv-x-dev/1_3-C1-rwkv-340_pth', './rwkv-x-dev/chunk1-0_8_pth', './rwkv-x-dev/chunk0-0_8_pth', './rwkv-x-dev/225-EagleX-PreFT-E', './rwkv-x-dev/225-EagleX-PreFT-B', './rwkv-x-dev/blink4-final_pth', './rwkv-x-dev/chunk2-0_8_pth', './rwkv-x-dev/chunk3-0_8_pth', './rwkv-x-dev/r3-4k-test2-fix3-blink-final_pth', './rwkv-x-dev/R4-7B-15t-With-Mask_pth', './rwkv-x-dev/r3-testchunk-1-8_pth', './rwkv-x-dev/R4-with-shuffle-rwkv-53_pth', './rwkv-x-dev/chunk7-2-0_85_pth', './rwkv-x-dev/EagleX-1_7T_pth', './rwkv-x-dev/r3-testchunk2-blink-fixed_pth', './rwkv-x-dev/r3-testchunk2-blink_pth', './rwkv-x-dev/rwkv-230_pth', './rwkv-x-dev/1_3-C0-rwkv-60_pth', './rwkv-x-dev/chunk5-0_85_pth', './rwkv-x-dev/R4-7B-Base-No-Mask_pth', './rwkv-x-dev/RWKV-5-World-1B5-v2-20231025-ctx4096', './rwkv-x-dev/R4-1B5-No-Mask_pth', './rwkv-x-dev/RWKV-32K-5B-RW_pth', './rwkv-x-dev/R4-7B-15t-32k-No-Mask_pth', './rwkv-x-dev/1_3-C0-PRERUN-rwkv-60_pth', './rwkv-x-dev/EagleX_1-7T_Chat_pth', './rwkv-x-dev/1_3-C1-rwkv-390_pth', './rwkv-x-dev/1_3-C1-rwkv-20_pth', './rwkv-x-dev/chunk8-1-0_85_pth', './rwkv-x-dev/R4-7B-Base-32k-No-Mask_pth', './rwkv-x-dev/R4-no-shuffle-rwkv-53_pth', './rwkv-x-dev/1_3-C2-rwkv-648_pth', './rwkv-x-dev/1_3-C2-rwkv-250_pth', './rwkv-x-dev/r3-testchunk-1-8-no-cuda-with-warmup_pth', './rwkv-x-dev/1_3-C0-rwkv-140_pth', './rwkv-x-dev/bruber_9b', './rwkv-x-dev/Eagle-225-1FT', './rwkv-x-dev/225-EagleX-PreFT-A', './rwkv-x-dev/225-EagleX-PreFT-F', './rwkv-x-dev/r3-c1-8_pth', './rwkv-x-dev/1_3-C0-PRERUN-rwkv-450_pth', './rwkv-x-dev/RWKV-5-World-3B-v2-20231118-ctx16k', './rwkv-x-dev/1_3-C0-PREPRERUN-rwkv-40_pth', './rwkv-x-dev/RWKV-5-World-7B-v2-20240128-ctx4096', './rwkv-x-dev/R4-7B-15t-No-Mask_pth', './rwkv-x-dev/1_0-c1-290_pth', './rwkv-x-dev/R4-1B5-With-Mask_pth', './rwkv-x-dev/Quetzal-N8-1', './rwkv-x-dev/1_3-C0-PREPRERUN-rwkv-30_pth', './rwkv-x-dev/1_3-C0-rwkv-70_pth', './rwkv-x-dev/chunk6-0_85_pth', './rwkv-x-dev/R4-7B-Base-With-Mask_pth', 'rwkv-x-dev/v5-Eagle-7B-1_0T-HF', './rwkv-x-dev/1_3-C0-PRERUN-rwkv-30_pth', './rwkv-x-dev/chunk7-1-0_85_pth', './rwkv-x-dev/1_3-C1-rwkv-190_pth', './rwkv-x-dev/R4-7B-15t-extd-e3_pth', './rwkv-x-dev/r3-testchunk2_pth', './rwkv-x-dev/Hermes-RWKV-v5-7B_pth', './rwkv-x-dev/1_3-C0-rwkv-153_pth', './rwkv-x-dev/R4-7B-15t-extd-e2_pth', './rwkv-x-dev/r3-testchunk-blink_pth', 'SmerkyG/rwkv-5-world-1b5', 'SmerkyG/rwkv6-world-1b6', 'SmerkyG/rwkv6-world-3b', 'SmerkyG/rwkv-5-world-3b', 'SmerkyG/rwkv-5-world-7b', 'SmerkyG/rwkv5-world-7b', 'togethercomputer/RedPajama-INCITE-7B-Base', 'togethercomputer/RedPajama-INCITE-7B-Instruct', 'togethercomputer/RedPajama-INCITE-7B-Chat', 'facebook/opt-2.7b', 'facebook/opt-6.7b', 'facebook/opt-1.3b', 'tiiuae/falcon-7b-instruct', 'tiiuae/falcon-rw-1b', 'tiiuae/falcon-rw-7b', 'tiiuae/falcon-7b', 'm8than/Finch-14B-Continued', 'm8than/FinchX-Med', 'TimeMobius/Mobius-RWKV-Chat-12B-128k-v4-HF', 'huggyllama/llama-7b', 'meta-llama/Llama-2-7b-chat-hf', 'meta-llama/Llama-2-7b-hf', 'state-spaces/mamba-2.8b-hf', 'state-spaces/mamba-1.4b-hf']\n",
|
| 169 |
"Saved to compiled-lm-eval-results.json\n"
|
| 170 |
]
|
| 171 |
}
|
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|
| 199 |
},
|
| 200 |
{
|
| 201 |
"cell_type": "code",
|
| 202 |
+
"execution_count": 47,
|
| 203 |
"metadata": {},
|
| 204 |
"outputs": [
|
| 205 |
{
|
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|
| 272 |
" <td>0.047059</td>\n",
|
| 273 |
" </tr>\n",
|
| 274 |
" <tr>\n",
|
| 275 |
+
" <th>...</th>\n",
|
| 276 |
+
" <td>...</td>\n",
|
| 277 |
+
" <td>...</td>\n",
|
| 278 |
+
" <td>...</td>\n",
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| 279 |
+
" <td>...</td>\n",
|
| 280 |
+
" <td>...</td>\n",
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|
| 281 |
" </tr>\n",
|
| 282 |
" <tr>\n",
|
| 283 |
+
" <th>56</th>\n",
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|
| 284 |
" <td>huggyllama/llama-7b</td>\n",
|
| 285 |
" <td>0.541818</td>\n",
|
| 286 |
" <td>0.040718</td>\n",
|
|
|
|
| 288 |
" <td>0.040718</td>\n",
|
| 289 |
" </tr>\n",
|
| 290 |
" <tr>\n",
|
| 291 |
+
" <th>57</th>\n",
|
| 292 |
" <td>meta-llama/Llama-2-7b-chat-hf</td>\n",
|
| 293 |
" <td>0.559818</td>\n",
|
| 294 |
" <td>0.054954</td>\n",
|
|
|
|
| 296 |
" <td>0.054954</td>\n",
|
| 297 |
" </tr>\n",
|
| 298 |
" <tr>\n",
|
| 299 |
+
" <th>58</th>\n",
|
| 300 |
" <td>meta-llama/Llama-2-7b-hf</td>\n",
|
| 301 |
" <td>0.566727</td>\n",
|
| 302 |
" <td>0.052515</td>\n",
|
|
|
|
| 304 |
" <td>0.052515</td>\n",
|
| 305 |
" </tr>\n",
|
| 306 |
" <tr>\n",
|
| 307 |
+
" <th>59</th>\n",
|
| 308 |
" <td>state-spaces/mamba-2.8b-hf</td>\n",
|
| 309 |
" <td>0.552909</td>\n",
|
| 310 |
" <td>0.035570</td>\n",
|
|
|
|
| 312 |
" <td>0.035570</td>\n",
|
| 313 |
" </tr>\n",
|
| 314 |
" <tr>\n",
|
| 315 |
+
" <th>60</th>\n",
|
| 316 |
" <td>state-spaces/mamba-1.4b-hf</td>\n",
|
| 317 |
" <td>0.544182</td>\n",
|
| 318 |
" <td>0.031390</td>\n",
|
|
|
|
| 321 |
" </tr>\n",
|
| 322 |
" </tbody>\n",
|
| 323 |
"</table>\n",
|
| 324 |
+
"<p>61 rows × 5 columns</p>\n",
|
| 325 |
"</div>"
|
| 326 |
],
|
| 327 |
"text/plain": [
|
| 328 |
+
" model avg_acc avg_acc_stderr xcopa (acc) \\\n",
|
| 329 |
+
"0 mistralai/Mistral-7B-Instruct-v0.2 0.000000 0.000000 NaN \n",
|
| 330 |
+
"1 mistralai/Mistral-7B-v0.1 0.559455 0.053879 0.559455 \n",
|
| 331 |
+
"2 mosaicml/mpt-7b-instruct 0.537091 0.041919 0.537091 \n",
|
| 332 |
+
"3 mosaicml/mpt-7b 0.536000 0.042339 0.536000 \n",
|
| 333 |
+
"4 mosaicml/mpt-7b-chat 0.538000 0.047059 0.538000 \n",
|
| 334 |
+
".. ... ... ... ... \n",
|
| 335 |
+
"56 huggyllama/llama-7b 0.541818 0.040718 0.541818 \n",
|
| 336 |
+
"57 meta-llama/Llama-2-7b-chat-hf 0.559818 0.054954 0.559818 \n",
|
| 337 |
+
"58 meta-llama/Llama-2-7b-hf 0.566727 0.052515 0.566727 \n",
|
| 338 |
+
"59 state-spaces/mamba-2.8b-hf 0.552909 0.035570 0.552909 \n",
|
| 339 |
+
"60 state-spaces/mamba-1.4b-hf 0.544182 0.031390 0.544182 \n",
|
|
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|
| 340 |
"\n",
|
| 341 |
+
" xcopa (acc_stderr) \n",
|
| 342 |
+
"0 NaN \n",
|
| 343 |
+
"1 0.053879 \n",
|
| 344 |
+
"2 0.041919 \n",
|
| 345 |
+
"3 0.042339 \n",
|
| 346 |
+
"4 0.047059 \n",
|
| 347 |
+
".. ... \n",
|
| 348 |
+
"56 0.040718 \n",
|
| 349 |
+
"57 0.054954 \n",
|
| 350 |
+
"58 0.052515 \n",
|
| 351 |
+
"59 0.035570 \n",
|
| 352 |
+
"60 0.031390 \n",
|
| 353 |
+
"\n",
|
| 354 |
+
"[61 rows x 5 columns]"
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| 355 |
]
|
| 356 |
},
|
| 357 |
+
"execution_count": 47,
|
| 358 |
"metadata": {},
|
| 359 |
"output_type": "execute_result"
|
| 360 |
}
|
|
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|
| 555 |
},
|
| 556 |
{
|
| 557 |
"cell_type": "code",
|
| 558 |
+
"execution_count": 48,
|
| 559 |
"metadata": {},
|
| 560 |
"outputs": [
|
| 561 |
{
|
| 562 |
"name": "stdout",
|
| 563 |
"output_type": "stream",
|
| 564 |
"text": [
|
| 565 |
+
"total 38624\n",
|
| 566 |
+
"-rw-r--r--@ 1 picocreator staff 1.3M Jul 26 09:22 bf16-all-results-and-groups.csv\n",
|
| 567 |
+
"-rw-r--r--@ 1 picocreator staff 350K Jul 26 09:22 bf16-all-simplified-results-and-groups.csv\n",
|
| 568 |
+
"-rw-r--r--@ 1 picocreator staff 350K Jul 26 09:22 bf16-all-sorted-results-and-groups.csv\n",
|
| 569 |
+
"-rw-r--r--@ 1 picocreator staff 91K Jul 26 09:22 bf16-eng-focus.csv\n",
|
| 570 |
+
"-rw-r--r--@ 1 picocreator staff 1.2M Jul 26 09:22 bf16-eng-results.csv\n",
|
| 571 |
+
"-rw-r--r--@ 1 picocreator staff 105K Jul 26 09:22 bf16-eng-summary.csv\n",
|
| 572 |
+
"-rw-r--r--@ 1 picocreator staff 134K Jul 26 09:22 bf16-multilang-results.csv\n",
|
| 573 |
+
"-rw-r--r--@ 1 picocreator staff 19K Jul 26 09:22 bf16-multilang-summary.csv\n",
|
| 574 |
+
"-rw-r--r--@ 1 picocreator staff 91K Jul 26 09:22 bf16-sorted-eng-focus.csv\n",
|
| 575 |
+
"-rw-r--r--@ 1 picocreator staff 1.2M Jul 26 09:22 bf16-sorted-eng-results.csv\n",
|
| 576 |
+
"-rw-r--r--@ 1 picocreator staff 105K Jul 26 09:22 bf16-sorted-eng-summary.csv\n",
|
| 577 |
+
"-rw-r--r--@ 1 picocreator staff 19K Jul 26 09:22 bf16-sorted-multilang-summary.csv\n",
|
| 578 |
+
"-rw-r--r-- 1 picocreator staff 10M Jul 26 09:22 compiled-lm-eval-results.json\n",
|
| 579 |
+
"-rw-r--r--@ 1 picocreator staff 184K Jul 26 09:21 rwkv-x-dev-bf16-sorted-eng-180.csv\n",
|
| 580 |
+
"-rw-r--r--@ 1 picocreator staff 33K Jul 26 09:21 rwkv-x-dev-bf16-sorted-eng-21-focus.csv\n",
|
| 581 |
+
"-rw-r--r--@ 1 picocreator staff 107K Jul 26 09:22 rwkv-x-dev-bf16-sorted-eng-all.csv\n",
|
| 582 |
+
"-rw-r--r--@ 1 picocreator staff 6.7K Jul 26 09:22 rwkv-x-dev-bf16-sorted-eng-focus.csv\n",
|
| 583 |
+
"-rw-r--r--@ 1 picocreator staff 5.7K Jul 26 09:22 rwkv-x-dev-bf16-sorted-multilang-summary.csv\n"
|
| 584 |
]
|
| 585 |
}
|
| 586 |
],
|
|
|
|
| 591 |
"#\n",
|
| 592 |
"##################################################\n",
|
| 593 |
"\n",
|
| 594 |
+
"FOCUS_MODEL_LIST=[\n",
|
| 595 |
+
" # \"./rwkv-x-dev/*\", \n",
|
| 596 |
+
" \"rwkv-x-dev/*\", \"RWKV/*\", \"meta-llama/Llama-2-7b*\", \"mistralai/Mistral-7B-v0.1\", \"m8than/*\"\n",
|
| 597 |
+
"]\n",
|
| 598 |
+
"\n",
|
| 599 |
"# Overall results\n",
|
| 600 |
"all_results = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=[\"*\"], inResults=[\"*\"] )\n",
|
| 601 |
"all_results.to_csv('summary/bf16-all-results-and-groups.csv', index=False)\n",
|
|
|
|
| 621 |
"multilang_grp_sorted.to_csv('summary/bf16-sorted-multilang-summary.csv', index=False)\n",
|
| 622 |
"\n",
|
| 623 |
"# RWKV perf tracking\n",
|
| 624 |
+
"rwkv_multilang_grp_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=multiLang_tGrps, inResults=[], exModels=[], inModels=FOCUS_MODEL_LIST, sort=True )\n",
|
| 625 |
"rwkv_multilang_grp_sorted.to_csv('summary/rwkv-x-dev-bf16-sorted-multilang-summary.csv', index=False)\n",
|
| 626 |
"\n",
|
| 627 |
"# All other results\n",
|
|
|
|
| 649 |
"eng_focus_sorted.to_csv('summary/bf16-sorted-eng-focus.csv', index=False)\n",
|
| 650 |
"\n",
|
| 651 |
"# RWKV perf tracking\n",
|
| 652 |
+
"rwkv_eng_focus_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=eng_focus_tGrps, inResults=eng_focus_tTest, exModels=[], inModels=FOCUS_MODEL_LIST, sort=True, simplified=True )\n",
|
| 653 |
"rwkv_eng_focus_sorted.to_csv('summary/rwkv-x-dev-bf16-sorted-eng-focus.csv', index=False)\n",
|
| 654 |
"\n",
|
| 655 |
"# RWKV perf tracking\n",
|
| 656 |
+
"rwkv_eng_all_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=[\"*\"], inResults=[\"*\"], exModels=[], inModels=FOCUS_MODEL_LIST, sort=True, simplified=True )\n",
|
| 657 |
"rwkv_eng_all_sorted.to_csv('summary/rwkv-x-dev-bf16-sorted-eng-all.csv', index=False)\n",
|
| 658 |
"\n",
|
| 659 |
"# # Overall results\n",
|
|
|
|
| 666 |
},
|
| 667 |
{
|
| 668 |
"cell_type": "code",
|
| 669 |
+
"execution_count": 49,
|
| 670 |
"metadata": {},
|
| 671 |
"outputs": [],
|
| 672 |
"source": [
|
lm-eval-output/RWKV/v6-Finch-7B-HF/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
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| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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|
|
@@ -11,8 +11,8 @@
|
|
| 11 |
"alias": " - xnli_ar"
|
| 12 |
},
|
| 13 |
"xnli_bg": {
|
| 14 |
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"acc,none": 0.
|
| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
"xnli_de": {
|
|
@@ -21,70 +21,70 @@
|
|
| 21 |
"alias": " - xnli_de"
|
| 22 |
},
|
| 23 |
"xnli_el": {
|
| 24 |
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"acc,none": 0.
|
| 25 |
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| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"acc,none": 0.
|
| 30 |
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| 31 |
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|
| 32 |
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| 33 |
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|
| 34 |
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"acc,none": 0.
|
| 35 |
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"acc_stderr,none": 0.
|
| 36 |
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|
| 37 |
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|
| 38 |
"xnli_fr": {
|
| 39 |
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"acc,none": 0.
|
| 40 |
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"acc_stderr,none": 0.
|
| 41 |
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|
| 42 |
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|
| 43 |
"xnli_hi": {
|
| 44 |
-
"acc,none": 0.
|
| 45 |
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"acc_stderr,none": 0.
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| 46 |
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|
| 47 |
},
|
| 48 |
"xnli_ru": {
|
| 49 |
-
"acc,none": 0.
|
| 50 |
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"acc_stderr,none": 0.
|
| 51 |
"alias": " - xnli_ru"
|
| 52 |
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|
| 53 |
"xnli_sw": {
|
| 54 |
-
"acc,none": 0.
|
| 55 |
-
"acc_stderr,none": 0.
|
| 56 |
"alias": " - xnli_sw"
|
| 57 |
},
|
| 58 |
"xnli_th": {
|
| 59 |
-
"acc,none": 0.
|
| 60 |
-
"acc_stderr,none": 0.
|
| 61 |
"alias": " - xnli_th"
|
| 62 |
},
|
| 63 |
"xnli_tr": {
|
| 64 |
-
"acc,none": 0.
|
| 65 |
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"acc_stderr,none": 0.
|
| 66 |
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|
| 67 |
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|
| 68 |
"xnli_ur": {
|
| 69 |
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"acc,none": 0.
|
| 70 |
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"acc_stderr,none": 0.
|
| 71 |
"alias": " - xnli_ur"
|
| 72 |
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|
| 73 |
"xnli_vi": {
|
| 74 |
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"acc,none": 0.
|
| 75 |
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"acc_stderr,none": 0.
|
| 76 |
"alias": " - xnli_vi"
|
| 77 |
},
|
| 78 |
"xnli_zh": {
|
| 79 |
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"acc,none": 0.
|
| 80 |
-
"acc_stderr,none": 0.
|
| 81 |
"alias": " - xnli_zh"
|
| 82 |
}
|
| 83 |
},
|
| 84 |
"groups": {
|
| 85 |
"xnli": {
|
| 86 |
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"acc,none": 0.
|
| 87 |
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"acc_stderr,none": 0.
|
| 88 |
"alias": "xnli"
|
| 89 |
}
|
| 90 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"xnli": {
|
| 4 |
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"acc,none": 0.4419812583668005,
|
| 5 |
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"acc_stderr,none": 0.05072266385982506,
|
| 6 |
"alias": "xnli"
|
| 7 |
},
|
| 8 |
"xnli_ar": {
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|
|
|
| 11 |
"alias": " - xnli_ar"
|
| 12 |
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|
| 13 |
"xnli_bg": {
|
| 14 |
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"acc,none": 0.4714859437751004,
|
| 15 |
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"acc_stderr,none": 0.010005762674605288,
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| 16 |
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|
| 17 |
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| 18 |
"xnli_de": {
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|
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|
| 21 |
"alias": " - xnli_de"
|
| 22 |
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|
| 23 |
"xnli_el": {
|
| 24 |
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"acc,none": 0.39959839357429716,
|
| 25 |
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"acc_stderr,none": 0.009817939267958266,
|
| 26 |
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|
| 27 |
},
|
| 28 |
"xnli_en": {
|
| 29 |
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"acc,none": 0.5401606425702812,
|
| 30 |
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"acc_stderr,none": 0.009989691810169688,
|
| 31 |
"alias": " - xnli_en"
|
| 32 |
},
|
| 33 |
"xnli_es": {
|
| 34 |
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"acc,none": 0.5072289156626506,
|
| 35 |
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"acc_stderr,none": 0.010021025361119635,
|
| 36 |
"alias": " - xnli_es"
|
| 37 |
},
|
| 38 |
"xnli_fr": {
|
| 39 |
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"acc,none": 0.4991967871485944,
|
| 40 |
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"acc_stderr,none": 0.010022059935722397,
|
| 41 |
"alias": " - xnli_fr"
|
| 42 |
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| 43 |
"xnli_hi": {
|
| 44 |
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"acc,none": 0.4393574297188755,
|
| 45 |
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"acc_stderr,none": 0.00994808700111736,
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| 46 |
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|
| 47 |
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|
| 48 |
"xnli_ru": {
|
| 49 |
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"acc,none": 0.4815261044176707,
|
| 50 |
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"acc_stderr,none": 0.010015229768356988,
|
| 51 |
"alias": " - xnli_ru"
|
| 52 |
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|
| 53 |
"xnli_sw": {
|
| 54 |
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"acc,none": 0.39116465863453814,
|
| 55 |
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"acc_stderr,none": 0.009781766322010008,
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| 56 |
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|
| 57 |
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|
| 58 |
"xnli_th": {
|
| 59 |
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"acc,none": 0.42128514056224897,
|
| 60 |
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"acc_stderr,none": 0.009897099560589198,
|
| 61 |
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|
| 62 |
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|
| 63 |
"xnli_tr": {
|
| 64 |
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"acc,none": 0.4606425702811245,
|
| 65 |
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|
| 66 |
"alias": " - xnli_tr"
|
| 67 |
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|
| 68 |
"xnli_ur": {
|
| 69 |
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"acc,none": 0.41847389558232934,
|
| 70 |
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"acc_stderr,none": 0.009887951897505937,
|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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"acc,none": 0.40602409638554215,
|
| 75 |
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"acc_stderr,none": 0.00984346200738422,
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| 76 |
"alias": " - xnli_vi"
|
| 77 |
},
|
| 78 |
"xnli_zh": {
|
| 79 |
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"acc,none": 0.3642570281124498,
|
| 80 |
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"acc_stderr,none": 0.009645667910246843,
|
| 81 |
"alias": " - xnli_zh"
|
| 82 |
}
|
| 83 |
},
|
| 84 |
"groups": {
|
| 85 |
"xnli": {
|
| 86 |
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"acc,none": 0.4419812583668005,
|
| 87 |
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"acc_stderr,none": 0.05072266385982506,
|
| 88 |
"alias": "xnli"
|
| 89 |
}
|
| 90 |
},
|
lm-eval-output/RWKV/v6-Finch-7B-HF/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
CHANGED
|
@@ -1,3 +1,3 @@
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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size 35171
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lm-eval-output/m8than/Finch-14B-Continued-10/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 683924
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lm-eval-output/m8than/Finch-14B-Continued-10/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,132 @@
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|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
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|
|
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|
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|
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|
|
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|
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|
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|
| 1 |
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{
|
| 2 |
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| 3 |
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| 4 |
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},
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| 15 |
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"alias": " - arc_challenge"
|
| 16 |
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},
|
| 17 |
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"arc_easy": {
|
| 18 |
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"acc,none": 0.7668350168350169,
|
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"blimp": {
|
| 4 |
+
"acc,none": 0.844,
|
| 5 |
+
"acc_stderr,none": 0.13676486091184517,
|
| 6 |
+
"alias": "blimp"
|
| 7 |
+
},
|
| 8 |
+
"blimp_adjunct_island": {
|
| 9 |
+
"acc,none": 0.912,
|
| 10 |
+
"acc_stderr,none": 0.008963053962592083,
|
| 11 |
+
"alias": " - blimp_adjunct_island"
|
| 12 |
+
},
|
| 13 |
+
"blimp_anaphor_gender_agreement": {
|
| 14 |
+
"acc,none": 0.99,
|
| 15 |
+
"acc_stderr,none": 0.003148000938676768,
|
| 16 |
+
"alias": " - blimp_anaphor_gender_agreement"
|
| 17 |
+
},
|
| 18 |
+
"blimp_anaphor_number_agreement": {
|
| 19 |
+
"acc,none": 0.993,
|
| 20 |
+
"acc_stderr,none": 0.0026377941462437586,
|
| 21 |
+
"alias": " - blimp_anaphor_number_agreement"
|
| 22 |
+
},
|
| 23 |
+
"blimp_animate_subject_passive": {
|
| 24 |
+
"acc,none": 0.83,
|
| 25 |
+
"acc_stderr,none": 0.011884495834541672,
|
| 26 |
+
"alias": " - blimp_animate_subject_passive"
|
| 27 |
+
},
|
| 28 |
+
"blimp_animate_subject_trans": {
|
| 29 |
+
"acc,none": 0.902,
|
| 30 |
+
"acc_stderr,none": 0.009406619184621228,
|
| 31 |
+
"alias": " - blimp_animate_subject_trans"
|
| 32 |
+
},
|
| 33 |
+
"blimp_causative": {
|
| 34 |
+
"acc,none": 0.789,
|
| 35 |
+
"acc_stderr,none": 0.012909130321042092,
|
| 36 |
+
"alias": " - blimp_causative"
|
| 37 |
+
},
|
| 38 |
+
"blimp_complex_NP_island": {
|
| 39 |
+
"acc,none": 0.628,
|
| 40 |
+
"acc_stderr,none": 0.015292149942040577,
|
| 41 |
+
"alias": " - blimp_complex_NP_island"
|
| 42 |
+
},
|
| 43 |
+
"blimp_coordinate_structure_constraint_complex_left_branch": {
|
| 44 |
+
"acc,none": 0.779,
|
| 45 |
+
"acc_stderr,none": 0.01312750285969626,
|
| 46 |
+
"alias": " - blimp_coordinate_structure_constraint_complex_left_branch"
|
| 47 |
+
},
|
| 48 |
+
"blimp_coordinate_structure_constraint_object_extraction": {
|
| 49 |
+
"acc,none": 0.892,
|
| 50 |
+
"acc_stderr,none": 0.009820001651345714,
|
| 51 |
+
"alias": " - blimp_coordinate_structure_constraint_object_extraction"
|
| 52 |
+
},
|
| 53 |
+
"blimp_determiner_noun_agreement_1": {
|
| 54 |
+
"acc,none": 0.994,
|
| 55 |
+
"acc_stderr,none": 0.0024433521993298198,
|
| 56 |
+
"alias": " - blimp_determiner_noun_agreement_1"
|
| 57 |
+
},
|
| 58 |
+
"blimp_determiner_noun_agreement_2": {
|
| 59 |
+
"acc,none": 0.989,
|
| 60 |
+
"acc_stderr,none": 0.003299983316607817,
|
| 61 |
+
"alias": " - blimp_determiner_noun_agreement_2"
|
| 62 |
+
},
|
| 63 |
+
"blimp_determiner_noun_agreement_irregular_1": {
|
| 64 |
+
"acc,none": 0.965,
|
| 65 |
+
"acc_stderr,none": 0.005814534272734934,
|
| 66 |
+
"alias": " - blimp_determiner_noun_agreement_irregular_1"
|
| 67 |
+
},
|
| 68 |
+
"blimp_determiner_noun_agreement_irregular_2": {
|
| 69 |
+
"acc,none": 0.956,
|
| 70 |
+
"acc_stderr,none": 0.006488921798427418,
|
| 71 |
+
"alias": " - blimp_determiner_noun_agreement_irregular_2"
|
| 72 |
+
},
|
| 73 |
+
"blimp_determiner_noun_agreement_with_adj_2": {
|
| 74 |
+
"acc,none": 0.97,
|
| 75 |
+
"acc_stderr,none": 0.0053971408290991955,
|
| 76 |
+
"alias": " - blimp_determiner_noun_agreement_with_adj_2"
|
| 77 |
+
},
|
| 78 |
+
"blimp_determiner_noun_agreement_with_adj_irregular_1": {
|
| 79 |
+
"acc,none": 0.938,
|
| 80 |
+
"acc_stderr,none": 0.007629823996280306,
|
| 81 |
+
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1"
|
| 82 |
+
},
|
| 83 |
+
"blimp_determiner_noun_agreement_with_adj_irregular_2": {
|
| 84 |
+
"acc,none": 0.928,
|
| 85 |
+
"acc_stderr,none": 0.008178195576218681,
|
| 86 |
+
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_2"
|
| 87 |
+
},
|
| 88 |
+
"blimp_determiner_noun_agreement_with_adjective_1": {
|
| 89 |
+
"acc,none": 0.986,
|
| 90 |
+
"acc_stderr,none": 0.0037172325482565743,
|
| 91 |
+
"alias": " - blimp_determiner_noun_agreement_with_adjective_1"
|
| 92 |
+
},
|
| 93 |
+
"blimp_distractor_agreement_relational_noun": {
|
| 94 |
+
"acc,none": 0.945,
|
| 95 |
+
"acc_stderr,none": 0.0072129762946392395,
|
| 96 |
+
"alias": " - blimp_distractor_agreement_relational_noun"
|
| 97 |
+
},
|
| 98 |
+
"blimp_distractor_agreement_relative_clause": {
|
| 99 |
+
"acc,none": 0.871,
|
| 100 |
+
"acc_stderr,none": 0.010605256784796558,
|
| 101 |
+
"alias": " - blimp_distractor_agreement_relative_clause"
|
| 102 |
+
},
|
| 103 |
+
"blimp_drop_argument": {
|
| 104 |
+
"acc,none": 0.789,
|
| 105 |
+
"acc_stderr,none": 0.012909130321042095,
|
| 106 |
+
"alias": " - blimp_drop_argument"
|
| 107 |
+
},
|
| 108 |
+
"blimp_ellipsis_n_bar_1": {
|
| 109 |
+
"acc,none": 0.802,
|
| 110 |
+
"acc_stderr,none": 0.01260773393417531,
|
| 111 |
+
"alias": " - blimp_ellipsis_n_bar_1"
|
| 112 |
+
},
|
| 113 |
+
"blimp_ellipsis_n_bar_2": {
|
| 114 |
+
"acc,none": 0.959,
|
| 115 |
+
"acc_stderr,none": 0.006273624021118792,
|
| 116 |
+
"alias": " - blimp_ellipsis_n_bar_2"
|
| 117 |
+
},
|
| 118 |
+
"blimp_existential_there_object_raising": {
|
| 119 |
+
"acc,none": 0.831,
|
| 120 |
+
"acc_stderr,none": 0.011856625977890117,
|
| 121 |
+
"alias": " - blimp_existential_there_object_raising"
|
| 122 |
+
},
|
| 123 |
+
"blimp_existential_there_quantifiers_1": {
|
| 124 |
+
"acc,none": 0.998,
|
| 125 |
+
"acc_stderr,none": 0.001413505570557794,
|
| 126 |
+
"alias": " - blimp_existential_there_quantifiers_1"
|
| 127 |
+
},
|
| 128 |
+
"blimp_existential_there_quantifiers_2": {
|
| 129 |
+
"acc,none": 0.361,
|
| 130 |
+
"acc_stderr,none": 0.015195720118175129,
|
| 131 |
+
"alias": " - blimp_existential_there_quantifiers_2"
|
| 132 |
+
},
|
| 133 |
+
"blimp_existential_there_subject_raising": {
|
| 134 |
+
"acc,none": 0.904,
|
| 135 |
+
"acc_stderr,none": 0.009320454434783222,
|
| 136 |
+
"alias": " - blimp_existential_there_subject_raising"
|
| 137 |
+
},
|
| 138 |
+
"blimp_expletive_it_object_raising": {
|
| 139 |
+
"acc,none": 0.797,
|
| 140 |
+
"acc_stderr,none": 0.012726073744598285,
|
| 141 |
+
"alias": " - blimp_expletive_it_object_raising"
|
| 142 |
+
},
|
| 143 |
+
"blimp_inchoative": {
|
| 144 |
+
"acc,none": 0.734,
|
| 145 |
+
"acc_stderr,none": 0.013979965645145143,
|
| 146 |
+
"alias": " - blimp_inchoative"
|
| 147 |
+
},
|
| 148 |
+
"blimp_intransitive": {
|
| 149 |
+
"acc,none": 0.862,
|
| 150 |
+
"acc_stderr,none": 0.010912152632504387,
|
| 151 |
+
"alias": " - blimp_intransitive"
|
| 152 |
+
},
|
| 153 |
+
"blimp_irregular_past_participle_adjectives": {
|
| 154 |
+
"acc,none": 0.876,
|
| 155 |
+
"acc_stderr,none": 0.010427498872343961,
|
| 156 |
+
"alias": " - blimp_irregular_past_participle_adjectives"
|
| 157 |
+
},
|
| 158 |
+
"blimp_irregular_past_participle_verbs": {
|
| 159 |
+
"acc,none": 0.908,
|
| 160 |
+
"acc_stderr,none": 0.009144376393151118,
|
| 161 |
+
"alias": " - blimp_irregular_past_participle_verbs"
|
| 162 |
+
},
|
| 163 |
+
"blimp_irregular_plural_subject_verb_agreement_1": {
|
| 164 |
+
"acc,none": 0.947,
|
| 165 |
+
"acc_stderr,none": 0.007088105617246447,
|
| 166 |
+
"alias": " - blimp_irregular_plural_subject_verb_agreement_1"
|
| 167 |
+
},
|
| 168 |
+
"blimp_irregular_plural_subject_verb_agreement_2": {
|
| 169 |
+
"acc,none": 0.939,
|
| 170 |
+
"acc_stderr,none": 0.007572076091557422,
|
| 171 |
+
"alias": " - blimp_irregular_plural_subject_verb_agreement_2"
|
| 172 |
+
},
|
| 173 |
+
"blimp_left_branch_island_echo_question": {
|
| 174 |
+
"acc,none": 0.678,
|
| 175 |
+
"acc_stderr,none": 0.014782913600996662,
|
| 176 |
+
"alias": " - blimp_left_branch_island_echo_question"
|
| 177 |
+
},
|
| 178 |
+
"blimp_left_branch_island_simple_question": {
|
| 179 |
+
"acc,none": 0.892,
|
| 180 |
+
"acc_stderr,none": 0.009820001651345694,
|
| 181 |
+
"alias": " - blimp_left_branch_island_simple_question"
|
| 182 |
+
},
|
| 183 |
+
"blimp_matrix_question_npi_licensor_present": {
|
| 184 |
+
"acc,none": 0.603,
|
| 185 |
+
"acc_stderr,none": 0.015480007449307989,
|
| 186 |
+
"alias": " - blimp_matrix_question_npi_licensor_present"
|
| 187 |
+
},
|
| 188 |
+
"blimp_npi_present_1": {
|
| 189 |
+
"acc,none": 0.653,
|
| 190 |
+
"acc_stderr,none": 0.015060472031706625,
|
| 191 |
+
"alias": " - blimp_npi_present_1"
|
| 192 |
+
},
|
| 193 |
+
"blimp_npi_present_2": {
|
| 194 |
+
"acc,none": 0.692,
|
| 195 |
+
"acc_stderr,none": 0.01460648312734276,
|
| 196 |
+
"alias": " - blimp_npi_present_2"
|
| 197 |
+
},
|
| 198 |
+
"blimp_only_npi_licensor_present": {
|
| 199 |
+
"acc,none": 0.887,
|
| 200 |
+
"acc_stderr,none": 0.010016552866696863,
|
| 201 |
+
"alias": " - blimp_only_npi_licensor_present"
|
| 202 |
+
},
|
| 203 |
+
"blimp_only_npi_scope": {
|
| 204 |
+
"acc,none": 0.763,
|
| 205 |
+
"acc_stderr,none": 0.01345407046257795,
|
| 206 |
+
"alias": " - blimp_only_npi_scope"
|
| 207 |
+
},
|
| 208 |
+
"blimp_passive_1": {
|
| 209 |
+
"acc,none": 0.902,
|
| 210 |
+
"acc_stderr,none": 0.009406619184621214,
|
| 211 |
+
"alias": " - blimp_passive_1"
|
| 212 |
+
},
|
| 213 |
+
"blimp_passive_2": {
|
| 214 |
+
"acc,none": 0.918,
|
| 215 |
+
"acc_stderr,none": 0.008680515615523715,
|
| 216 |
+
"alias": " - blimp_passive_2"
|
| 217 |
+
},
|
| 218 |
+
"blimp_principle_A_c_command": {
|
| 219 |
+
"acc,none": 0.804,
|
| 220 |
+
"acc_stderr,none": 0.012559527926707373,
|
| 221 |
+
"alias": " - blimp_principle_A_c_command"
|
| 222 |
+
},
|
| 223 |
+
"blimp_principle_A_case_1": {
|
| 224 |
+
"acc,none": 1.0,
|
| 225 |
+
"acc_stderr,none": 0.0,
|
| 226 |
+
"alias": " - blimp_principle_A_case_1"
|
| 227 |
+
},
|
| 228 |
+
"blimp_principle_A_case_2": {
|
| 229 |
+
"acc,none": 0.952,
|
| 230 |
+
"acc_stderr,none": 0.006763264133666695,
|
| 231 |
+
"alias": " - blimp_principle_A_case_2"
|
| 232 |
+
},
|
| 233 |
+
"blimp_principle_A_domain_1": {
|
| 234 |
+
"acc,none": 0.973,
|
| 235 |
+
"acc_stderr,none": 0.00512808904927529,
|
| 236 |
+
"alias": " - blimp_principle_A_domain_1"
|
| 237 |
+
},
|
| 238 |
+
"blimp_principle_A_domain_2": {
|
| 239 |
+
"acc,none": 0.884,
|
| 240 |
+
"acc_stderr,none": 0.010131468138756998,
|
| 241 |
+
"alias": " - blimp_principle_A_domain_2"
|
| 242 |
+
},
|
| 243 |
+
"blimp_principle_A_domain_3": {
|
| 244 |
+
"acc,none": 0.753,
|
| 245 |
+
"acc_stderr,none": 0.01364467578131413,
|
| 246 |
+
"alias": " - blimp_principle_A_domain_3"
|
| 247 |
+
},
|
| 248 |
+
"blimp_principle_A_reconstruction": {
|
| 249 |
+
"acc,none": 0.702,
|
| 250 |
+
"acc_stderr,none": 0.014470846741134715,
|
| 251 |
+
"alias": " - blimp_principle_A_reconstruction"
|
| 252 |
+
},
|
| 253 |
+
"blimp_regular_plural_subject_verb_agreement_1": {
|
| 254 |
+
"acc,none": 0.969,
|
| 255 |
+
"acc_stderr,none": 0.005483527064679195,
|
| 256 |
+
"alias": " - blimp_regular_plural_subject_verb_agreement_1"
|
| 257 |
+
},
|
| 258 |
+
"blimp_regular_plural_subject_verb_agreement_2": {
|
| 259 |
+
"acc,none": 0.925,
|
| 260 |
+
"acc_stderr,none": 0.008333333333333335,
|
| 261 |
+
"alias": " - blimp_regular_plural_subject_verb_agreement_2"
|
| 262 |
+
},
|
| 263 |
+
"blimp_sentential_negation_npi_licensor_present": {
|
| 264 |
+
"acc,none": 0.998,
|
| 265 |
+
"acc_stderr,none": 0.0014135055705578026,
|
| 266 |
+
"alias": " - blimp_sentential_negation_npi_licensor_present"
|
| 267 |
+
},
|
| 268 |
+
"blimp_sentential_negation_npi_scope": {
|
| 269 |
+
"acc,none": 0.656,
|
| 270 |
+
"acc_stderr,none": 0.015029633724408945,
|
| 271 |
+
"alias": " - blimp_sentential_negation_npi_scope"
|
| 272 |
+
},
|
| 273 |
+
"blimp_sentential_subject_island": {
|
| 274 |
+
"acc,none": 0.523,
|
| 275 |
+
"acc_stderr,none": 0.015802554246726094,
|
| 276 |
+
"alias": " - blimp_sentential_subject_island"
|
| 277 |
+
},
|
| 278 |
+
"blimp_superlative_quantifiers_1": {
|
| 279 |
+
"acc,none": 0.737,
|
| 280 |
+
"acc_stderr,none": 0.01392928659425975,
|
| 281 |
+
"alias": " - blimp_superlative_quantifiers_1"
|
| 282 |
+
},
|
| 283 |
+
"blimp_superlative_quantifiers_2": {
|
| 284 |
+
"acc,none": 0.928,
|
| 285 |
+
"acc_stderr,none": 0.008178195576218681,
|
| 286 |
+
"alias": " - blimp_superlative_quantifiers_2"
|
| 287 |
+
},
|
| 288 |
+
"blimp_tough_vs_raising_1": {
|
| 289 |
+
"acc,none": 0.717,
|
| 290 |
+
"acc_stderr,none": 0.014251810906481744,
|
| 291 |
+
"alias": " - blimp_tough_vs_raising_1"
|
| 292 |
+
},
|
| 293 |
+
"blimp_tough_vs_raising_2": {
|
| 294 |
+
"acc,none": 0.9,
|
| 295 |
+
"acc_stderr,none": 0.009491579957525044,
|
| 296 |
+
"alias": " - blimp_tough_vs_raising_2"
|
| 297 |
+
},
|
| 298 |
+
"blimp_transitive": {
|
| 299 |
+
"acc,none": 0.924,
|
| 300 |
+
"acc_stderr,none": 0.008384169266796387,
|
| 301 |
+
"alias": " - blimp_transitive"
|
| 302 |
+
},
|
| 303 |
+
"blimp_wh_island": {
|
| 304 |
+
"acc,none": 0.774,
|
| 305 |
+
"acc_stderr,none": 0.01323250161908533,
|
| 306 |
+
"alias": " - blimp_wh_island"
|
| 307 |
+
},
|
| 308 |
+
"blimp_wh_questions_object_gap": {
|
| 309 |
+
"acc,none": 0.868,
|
| 310 |
+
"acc_stderr,none": 0.010709373963528033,
|
| 311 |
+
"alias": " - blimp_wh_questions_object_gap"
|
| 312 |
+
},
|
| 313 |
+
"blimp_wh_questions_subject_gap": {
|
| 314 |
+
"acc,none": 0.953,
|
| 315 |
+
"acc_stderr,none": 0.006695956678163042,
|
| 316 |
+
"alias": " - blimp_wh_questions_subject_gap"
|
| 317 |
+
},
|
| 318 |
+
"blimp_wh_questions_subject_gap_long_distance": {
|
| 319 |
+
"acc,none": 0.946,
|
| 320 |
+
"acc_stderr,none": 0.007150883521295437,
|
| 321 |
+
"alias": " - blimp_wh_questions_subject_gap_long_distance"
|
| 322 |
+
},
|
| 323 |
+
"blimp_wh_vs_that_no_gap": {
|
| 324 |
+
"acc,none": 0.985,
|
| 325 |
+
"acc_stderr,none": 0.0038457495745030006,
|
| 326 |
+
"alias": " - blimp_wh_vs_that_no_gap"
|
| 327 |
+
},
|
| 328 |
+
"blimp_wh_vs_that_no_gap_long_distance": {
|
| 329 |
+
"acc,none": 0.979,
|
| 330 |
+
"acc_stderr,none": 0.0045364721513064974,
|
| 331 |
+
"alias": " - blimp_wh_vs_that_no_gap_long_distance"
|
| 332 |
+
},
|
| 333 |
+
"blimp_wh_vs_that_with_gap": {
|
| 334 |
+
"acc,none": 0.412,
|
| 335 |
+
"acc_stderr,none": 0.0155723632920151,
|
| 336 |
+
"alias": " - blimp_wh_vs_that_with_gap"
|
| 337 |
+
},
|
| 338 |
+
"blimp_wh_vs_that_with_gap_long_distance": {
|
| 339 |
+
"acc,none": 0.334,
|
| 340 |
+
"acc_stderr,none": 0.014922019523732963,
|
| 341 |
+
"alias": " - blimp_wh_vs_that_with_gap_long_distance"
|
| 342 |
+
}
|
| 343 |
+
},
|
| 344 |
+
"groups": {
|
| 345 |
+
"blimp": {
|
| 346 |
+
"acc,none": 0.844,
|
| 347 |
+
"acc_stderr,none": 0.13676486091184517,
|
| 348 |
+
"alias": "blimp"
|
| 349 |
+
}
|
| 350 |
+
},
|
| 351 |
+
"configs": {
|
| 352 |
+
"blimp_adjunct_island": {
|
| 353 |
+
"task": "blimp_adjunct_island",
|
| 354 |
+
"group": "blimp",
|
| 355 |
+
"dataset_path": "blimp",
|
| 356 |
+
"dataset_name": "adjunct_island",
|
| 357 |
+
"validation_split": "train",
|
| 358 |
+
"doc_to_text": "",
|
| 359 |
+
"doc_to_target": 0,
|
| 360 |
+
"doc_to_choice": "{{[sentence_good, sentence_bad]}}",
|
| 361 |
+
"description": "",
|
| 362 |
+
"target_delimiter": " ",
|
| 363 |
+
"fewshot_delimiter": "\n\n",
|
| 364 |
+
"num_fewshot": 0,
|
| 365 |
+
"metric_list": [
|
| 366 |
+
{
|
| 367 |
+
"metric": "acc"
|
| 368 |
+
}
|
| 369 |
+
],
|
| 370 |
+
"output_type": "multiple_choice",
|
| 371 |
+
"repeats": 1,
|
| 372 |
+
"should_decontaminate": true,
|
| 373 |
+
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}",
|
| 374 |
+
"metadata": {
|
| 375 |
+
"version": 1.0
|
| 376 |
+
}
|
| 377 |
+
},
|
| 378 |
+
"blimp_anaphor_gender_agreement": {
|
| 379 |
+
"task": "blimp_anaphor_gender_agreement",
|
| 380 |
+
"group": "blimp",
|
| 381 |
+
"dataset_path": "blimp",
|
| 382 |
+
"dataset_name": "anaphor_gender_agreement",
|
| 383 |
+
"validation_split": "train",
|
| 384 |
+
"doc_to_text": "",
|
| 385 |
+
"doc_to_target": 0,
|
| 386 |
+
"doc_to_choice": "{{[sentence_good, sentence_bad]}}",
|
| 387 |
+
"description": "",
|
| 388 |
+
"target_delimiter": " ",
|
| 389 |
+
"fewshot_delimiter": "\n\n",
|
| 390 |
+
"num_fewshot": 0,
|
| 391 |
+
"metric_list": [
|
| 392 |
+
{
|
| 393 |
+
"metric": "acc"
|
| 394 |
+
}
|
| 395 |
+
],
|
| 396 |
+
"output_type": "multiple_choice",
|
| 397 |
+
"repeats": 1,
|
| 398 |
+
"should_decontaminate": true,
|
| 399 |
+
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}",
|
| 400 |
+
"metadata": {
|
| 401 |
+
"version": 1.0
|
| 402 |
+
}
|
| 403 |
+
},
|
| 404 |
+
"blimp_anaphor_number_agreement": {
|
| 405 |
+
"task": "blimp_anaphor_number_agreement",
|
| 406 |
+
"group": "blimp",
|
| 407 |
+
"dataset_path": "blimp",
|
| 408 |
+
"dataset_name": "anaphor_number_agreement",
|
| 409 |
+
"validation_split": "train",
|
| 410 |
+
"doc_to_text": "",
|
| 411 |
+
"doc_to_target": 0,
|
| 412 |
+
"doc_to_choice": "{{[sentence_good, sentence_bad]}}",
|
| 413 |
+
"description": "",
|
| 414 |
+
"target_delimiter": " ",
|
| 415 |
+
"fewshot_delimiter": "\n\n",
|
| 416 |
+
"num_fewshot": 0,
|
| 417 |
+
"metric_list": [
|
| 418 |
+
{
|
| 419 |
+
"metric": "acc"
|
| 420 |
+
}
|
| 421 |
+
],
|
| 422 |
+
"output_type": "multiple_choice",
|
| 423 |
+
"repeats": 1,
|
| 424 |
+
"should_decontaminate": true,
|
| 425 |
+
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}",
|
| 426 |
+
"metadata": {
|
| 427 |
+
"version": 1.0
|
| 428 |
+
}
|
| 429 |
+
},
|
| 430 |
+
"blimp_animate_subject_passive": {
|
| 431 |
+
"task": "blimp_animate_subject_passive",
|
| 432 |
+
"group": "blimp",
|
| 433 |
+
"dataset_path": "blimp",
|
| 434 |
+
"dataset_name": "animate_subject_passive",
|
| 435 |
+
"validation_split": "train",
|
| 436 |
+
"doc_to_text": "",
|
| 437 |
+
"doc_to_target": 0,
|
| 438 |
+
"doc_to_choice": "{{[sentence_good, sentence_bad]}}",
|
| 439 |
+
"description": "",
|
| 440 |
+
"target_delimiter": " ",
|
| 441 |
+
"fewshot_delimiter": "\n\n",
|
| 442 |
+
"num_fewshot": 0,
|
| 443 |
+
"metric_list": [
|
| 444 |
+
{
|
| 445 |
+
"metric": "acc"
|
| 446 |
+
}
|
| 447 |
+
],
|
| 448 |
+
"output_type": "multiple_choice",
|
| 449 |
+
"repeats": 1,
|
| 450 |
+
"should_decontaminate": true,
|
| 451 |
+
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}",
|
| 452 |
+
"metadata": {
|
| 453 |
+
"version": 1.0
|
| 454 |
+
}
|
| 455 |
+
},
|
| 456 |
+
"blimp_animate_subject_trans": {
|
| 457 |
+
"task": "blimp_animate_subject_trans",
|
| 458 |
+
"group": "blimp",
|
| 459 |
+
"dataset_path": "blimp",
|
| 460 |
+
"dataset_name": "animate_subject_trans",
|
| 461 |
+
"validation_split": "train",
|
| 462 |
+
"doc_to_text": "",
|
| 463 |
+
"doc_to_target": 0,
|
| 464 |
+
"doc_to_choice": "{{[sentence_good, sentence_bad]}}",
|
| 465 |
+
"description": "",
|
| 466 |
+
"target_delimiter": " ",
|
| 467 |
+
"fewshot_delimiter": "\n\n",
|
| 468 |
+
"num_fewshot": 0,
|
| 469 |
+
"metric_list": [
|
| 470 |
+
{
|
| 471 |
+
"metric": "acc"
|
| 472 |
+
}
|
| 473 |
+
],
|
| 474 |
+
"output_type": "multiple_choice",
|
| 475 |
+
"repeats": 1,
|
| 476 |
+
"should_decontaminate": true,
|
| 477 |
+
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}",
|
| 478 |
+
"metadata": {
|
| 479 |
+
"version": 1.0
|
| 480 |
+
}
|
| 481 |
+
},
|
| 482 |
+
"blimp_causative": {
|
| 483 |
+
"task": "blimp_causative",
|
| 484 |
+
"group": "blimp",
|
| 485 |
+
"dataset_path": "blimp",
|
| 486 |
+
"dataset_name": "causative",
|
| 487 |
+
"validation_split": "train",
|
| 488 |
+
"doc_to_text": "",
|
| 489 |
+
"doc_to_target": 0,
|
| 490 |
+
"doc_to_choice": "{{[sentence_good, sentence_bad]}}",
|
| 491 |
+
"description": "",
|
| 492 |
+
"target_delimiter": " ",
|
| 493 |
+
"fewshot_delimiter": "\n\n",
|
| 494 |
+
"num_fewshot": 0,
|
| 495 |
+
"metric_list": [
|
| 496 |
+
{
|
| 497 |
+
"metric": "acc"
|
| 498 |
+
}
|
| 499 |
+
],
|
| 500 |
+
"output_type": "multiple_choice",
|
| 501 |
+
"repeats": 1,
|
| 502 |
+
"should_decontaminate": true,
|
| 503 |
+
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}",
|
| 504 |
+
"metadata": {
|
| 505 |
+
"version": 1.0
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"blimp_complex_NP_island": {
|
| 509 |
+
"task": "blimp_complex_NP_island",
|
| 510 |
+
"group": "blimp",
|
| 511 |
+
"dataset_path": "blimp",
|
| 512 |
+
"dataset_name": "complex_NP_island",
|
| 513 |
+
"validation_split": "train",
|
| 514 |
+
"doc_to_text": "",
|
| 515 |
+
"doc_to_target": 0,
|
| 516 |
+
"doc_to_choice": "{{[sentence_good, sentence_bad]}}",
|
| 517 |
+
"description": "",
|
| 518 |
+
"target_delimiter": " ",
|
| 519 |
+
"fewshot_delimiter": "\n\n",
|
| 520 |
+
"num_fewshot": 0,
|
| 521 |
+
"metric_list": [
|
| 522 |
+
{
|
| 523 |
+
"metric": "acc"
|
| 524 |
+
}
|
| 525 |
+
],
|
| 526 |
+
"output_type": "multiple_choice",
|
| 527 |
+
"repeats": 1,
|
| 528 |
+
"should_decontaminate": true,
|
| 529 |
+
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}",
|
| 530 |
+
"metadata": {
|
| 531 |
+
"version": 1.0
|
| 532 |
+
}
|
| 533 |
+
},
|
| 534 |
+
"blimp_coordinate_structure_constraint_complex_left_branch": {
|
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| 7 |
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| 11 |
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|
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| 1 |
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{
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|
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"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",
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"mmlu": {
|
| 4 |
+
"acc,none": 0.5616721264777097,
|
| 5 |
+
"acc_stderr,none": 0.12922245420838252,
|
| 6 |
+
"alias": "mmlu"
|
| 7 |
+
},
|
| 8 |
+
"mmlu_humanities": {
|
| 9 |
+
"alias": " - humanities",
|
| 10 |
+
"acc,none": 0.5094580233793836,
|
| 11 |
+
"acc_stderr,none": 0.1438564975883652
|
| 12 |
+
},
|
| 13 |
+
"mmlu_formal_logic": {
|
| 14 |
+
"alias": " - formal_logic",
|
| 15 |
+
"acc,none": 0.36507936507936506,
|
| 16 |
+
"acc_stderr,none": 0.04306241259127154
|
| 17 |
+
},
|
| 18 |
+
"mmlu_high_school_european_history": {
|
| 19 |
+
"alias": " - high_school_european_history",
|
| 20 |
+
"acc,none": 0.7212121212121212,
|
| 21 |
+
"acc_stderr,none": 0.0350143870629678
|
| 22 |
+
},
|
| 23 |
+
"mmlu_high_school_us_history": {
|
| 24 |
+
"alias": " - high_school_us_history",
|
| 25 |
+
"acc,none": 0.7401960784313726,
|
| 26 |
+
"acc_stderr,none": 0.03077855467869326
|
| 27 |
+
},
|
| 28 |
+
"mmlu_high_school_world_history": {
|
| 29 |
+
"alias": " - high_school_world_history",
|
| 30 |
+
"acc,none": 0.7468354430379747,
|
| 31 |
+
"acc_stderr,none": 0.028304657943035303
|
| 32 |
+
},
|
| 33 |
+
"mmlu_international_law": {
|
| 34 |
+
"alias": " - international_law",
|
| 35 |
+
"acc,none": 0.6942148760330579,
|
| 36 |
+
"acc_stderr,none": 0.04205953933884122
|
| 37 |
+
},
|
| 38 |
+
"mmlu_jurisprudence": {
|
| 39 |
+
"alias": " - jurisprudence",
|
| 40 |
+
"acc,none": 0.6851851851851852,
|
| 41 |
+
"acc_stderr,none": 0.04489931073591312
|
| 42 |
+
},
|
| 43 |
+
"mmlu_logical_fallacies": {
|
| 44 |
+
"alias": " - logical_fallacies",
|
| 45 |
+
"acc,none": 0.6625766871165644,
|
| 46 |
+
"acc_stderr,none": 0.037149084099355745
|
| 47 |
+
},
|
| 48 |
+
"mmlu_moral_disputes": {
|
| 49 |
+
"alias": " - moral_disputes",
|
| 50 |
+
"acc,none": 0.6329479768786127,
|
| 51 |
+
"acc_stderr,none": 0.025950054337654085
|
| 52 |
+
},
|
| 53 |
+
"mmlu_moral_scenarios": {
|
| 54 |
+
"alias": " - moral_scenarios",
|
| 55 |
+
"acc,none": 0.24022346368715083,
|
| 56 |
+
"acc_stderr,none": 0.014288343803925302
|
| 57 |
+
},
|
| 58 |
+
"mmlu_philosophy": {
|
| 59 |
+
"alias": " - philosophy",
|
| 60 |
+
"acc,none": 0.639871382636656,
|
| 61 |
+
"acc_stderr,none": 0.027264297599804015
|
| 62 |
+
},
|
| 63 |
+
"mmlu_prehistory": {
|
| 64 |
+
"alias": " - prehistory",
|
| 65 |
+
"acc,none": 0.6234567901234568,
|
| 66 |
+
"acc_stderr,none": 0.026959344518747787
|
| 67 |
+
},
|
| 68 |
+
"mmlu_professional_law": {
|
| 69 |
+
"alias": " - professional_law",
|
| 70 |
+
"acc,none": 0.43415906127770537,
|
| 71 |
+
"acc_stderr,none": 0.01265903323706725
|
| 72 |
+
},
|
| 73 |
+
"mmlu_world_religions": {
|
| 74 |
+
"alias": " - world_religions",
|
| 75 |
+
"acc,none": 0.8011695906432749,
|
| 76 |
+
"acc_stderr,none": 0.030611116557432528
|
| 77 |
+
},
|
| 78 |
+
"mmlu_other": {
|
| 79 |
+
"alias": " - other",
|
| 80 |
+
"acc,none": 0.6298680399098808,
|
| 81 |
+
"acc_stderr,none": 0.10072231796338442
|
| 82 |
+
},
|
| 83 |
+
"mmlu_business_ethics": {
|
| 84 |
+
"alias": " - business_ethics",
|
| 85 |
+
"acc,none": 0.57,
|
| 86 |
+
"acc_stderr,none": 0.04975698519562427
|
| 87 |
+
},
|
| 88 |
+
"mmlu_clinical_knowledge": {
|
| 89 |
+
"alias": " - clinical_knowledge",
|
| 90 |
+
"acc,none": 0.6113207547169811,
|
| 91 |
+
"acc_stderr,none": 0.030000485448675986
|
| 92 |
+
},
|
| 93 |
+
"mmlu_college_medicine": {
|
| 94 |
+
"alias": " - college_medicine",
|
| 95 |
+
"acc,none": 0.5780346820809249,
|
| 96 |
+
"acc_stderr,none": 0.03765746693865151
|
| 97 |
+
},
|
| 98 |
+
"mmlu_global_facts": {
|
| 99 |
+
"alias": " - global_facts",
|
| 100 |
+
"acc,none": 0.3,
|
| 101 |
+
"acc_stderr,none": 0.046056618647183814
|
| 102 |
+
},
|
| 103 |
+
"mmlu_human_aging": {
|
| 104 |
+
"alias": " - human_aging",
|
| 105 |
+
"acc,none": 0.6502242152466368,
|
| 106 |
+
"acc_stderr,none": 0.03200736719484503
|
| 107 |
+
},
|
| 108 |
+
"mmlu_management": {
|
| 109 |
+
"alias": " - management",
|
| 110 |
+
"acc,none": 0.6990291262135923,
|
| 111 |
+
"acc_stderr,none": 0.04541609446503948
|
| 112 |
+
},
|
| 113 |
+
"mmlu_marketing": {
|
| 114 |
+
"alias": " - marketing",
|
| 115 |
+
"acc,none": 0.8076923076923077,
|
| 116 |
+
"acc_stderr,none": 0.02581923325648375
|
| 117 |
+
},
|
| 118 |
+
"mmlu_medical_genetics": {
|
| 119 |
+
"alias": " - medical_genetics",
|
| 120 |
+
"acc,none": 0.72,
|
| 121 |
+
"acc_stderr,none": 0.045126085985421296
|
| 122 |
+
},
|
| 123 |
+
"mmlu_miscellaneous": {
|
| 124 |
+
"alias": " - miscellaneous",
|
| 125 |
+
"acc,none": 0.7484035759897829,
|
| 126 |
+
"acc_stderr,none": 0.015517322365529622
|
| 127 |
+
},
|
| 128 |
+
"mmlu_nutrition": {
|
| 129 |
+
"alias": " - nutrition",
|
| 130 |
+
"acc,none": 0.6339869281045751,
|
| 131 |
+
"acc_stderr,none": 0.02758281141515962
|
| 132 |
+
},
|
| 133 |
+
"mmlu_professional_accounting": {
|
| 134 |
+
"alias": " - professional_accounting",
|
| 135 |
+
"acc,none": 0.40425531914893614,
|
| 136 |
+
"acc_stderr,none": 0.029275532159704725
|
| 137 |
+
},
|
| 138 |
+
"mmlu_professional_medicine": {
|
| 139 |
+
"alias": " - professional_medicine",
|
| 140 |
+
"acc,none": 0.5845588235294118,
|
| 141 |
+
"acc_stderr,none": 0.02993534270787776
|
| 142 |
+
},
|
| 143 |
+
"mmlu_virology": {
|
| 144 |
+
"alias": " - virology",
|
| 145 |
+
"acc,none": 0.463855421686747,
|
| 146 |
+
"acc_stderr,none": 0.03882310850890594
|
| 147 |
+
},
|
| 148 |
+
"mmlu_social_sciences": {
|
| 149 |
+
"alias": " - social_sciences",
|
| 150 |
+
"acc,none": 0.6603834904127397,
|
| 151 |
+
"acc_stderr,none": 0.09514680794625115
|
| 152 |
+
},
|
| 153 |
+
"mmlu_econometrics": {
|
| 154 |
+
"alias": " - econometrics",
|
| 155 |
+
"acc,none": 0.3508771929824561,
|
| 156 |
+
"acc_stderr,none": 0.04489539350270698
|
| 157 |
+
},
|
| 158 |
+
"mmlu_high_school_geography": {
|
| 159 |
+
"alias": " - high_school_geography",
|
| 160 |
+
"acc,none": 0.7323232323232324,
|
| 161 |
+
"acc_stderr,none": 0.03154449888270286
|
| 162 |
+
},
|
| 163 |
+
"mmlu_high_school_government_and_politics": {
|
| 164 |
+
"alias": " - high_school_government_and_politics",
|
| 165 |
+
"acc,none": 0.7772020725388601,
|
| 166 |
+
"acc_stderr,none": 0.030031147977641545
|
| 167 |
+
},
|
| 168 |
+
"mmlu_high_school_macroeconomics": {
|
| 169 |
+
"alias": " - high_school_macroeconomics",
|
| 170 |
+
"acc,none": 0.5743589743589743,
|
| 171 |
+
"acc_stderr,none": 0.025069094387296535
|
| 172 |
+
},
|
| 173 |
+
"mmlu_high_school_microeconomics": {
|
| 174 |
+
"alias": " - high_school_microeconomics",
|
| 175 |
+
"acc,none": 0.5756302521008403,
|
| 176 |
+
"acc_stderr,none": 0.032104790510157764
|
| 177 |
+
},
|
| 178 |
+
"mmlu_high_school_psychology": {
|
| 179 |
+
"alias": " - high_school_psychology",
|
| 180 |
+
"acc,none": 0.7798165137614679,
|
| 181 |
+
"acc_stderr,none": 0.017765978652327576
|
| 182 |
+
},
|
| 183 |
+
"mmlu_human_sexuality": {
|
| 184 |
+
"alias": " - human_sexuality",
|
| 185 |
+
"acc,none": 0.6717557251908397,
|
| 186 |
+
"acc_stderr,none": 0.04118438565806298
|
| 187 |
+
},
|
| 188 |
+
"mmlu_professional_psychology": {
|
| 189 |
+
"alias": " - professional_psychology",
|
| 190 |
+
"acc,none": 0.5702614379084967,
|
| 191 |
+
"acc_stderr,none": 0.020027122784928547
|
| 192 |
+
},
|
| 193 |
+
"mmlu_public_relations": {
|
| 194 |
+
"alias": " - public_relations",
|
| 195 |
+
"acc,none": 0.6454545454545455,
|
| 196 |
+
"acc_stderr,none": 0.04582004841505415
|
| 197 |
+
},
|
| 198 |
+
"mmlu_security_studies": {
|
| 199 |
+
"alias": " - security_studies",
|
| 200 |
+
"acc,none": 0.6285714285714286,
|
| 201 |
+
"acc_stderr,none": 0.030932858792789855
|
| 202 |
+
},
|
| 203 |
+
"mmlu_sociology": {
|
| 204 |
+
"alias": " - sociology",
|
| 205 |
+
"acc,none": 0.8258706467661692,
|
| 206 |
+
"acc_stderr,none": 0.026814951200421606
|
| 207 |
+
},
|
| 208 |
+
"mmlu_us_foreign_policy": {
|
| 209 |
+
"alias": " - us_foreign_policy",
|
| 210 |
+
"acc,none": 0.83,
|
| 211 |
+
"acc_stderr,none": 0.03775251680686371
|
| 212 |
+
},
|
| 213 |
+
"mmlu_stem": {
|
| 214 |
+
"alias": " - stem",
|
| 215 |
+
"acc,none": 0.47605455122105933,
|
| 216 |
+
"acc_stderr,none": 0.11287864111088165
|
| 217 |
+
},
|
| 218 |
+
"mmlu_abstract_algebra": {
|
| 219 |
+
"alias": " - abstract_algebra",
|
| 220 |
+
"acc,none": 0.35,
|
| 221 |
+
"acc_stderr,none": 0.047937248544110196
|
| 222 |
+
},
|
| 223 |
+
"mmlu_anatomy": {
|
| 224 |
+
"alias": " - anatomy",
|
| 225 |
+
"acc,none": 0.5925925925925926,
|
| 226 |
+
"acc_stderr,none": 0.04244633238353228
|
| 227 |
+
},
|
| 228 |
+
"mmlu_astronomy": {
|
| 229 |
+
"alias": " - astronomy",
|
| 230 |
+
"acc,none": 0.5592105263157895,
|
| 231 |
+
"acc_stderr,none": 0.04040311062490436
|
| 232 |
+
},
|
| 233 |
+
"mmlu_college_biology": {
|
| 234 |
+
"alias": " - college_biology",
|
| 235 |
+
"acc,none": 0.625,
|
| 236 |
+
"acc_stderr,none": 0.04048439222695598
|
| 237 |
+
},
|
| 238 |
+
"mmlu_college_chemistry": {
|
| 239 |
+
"alias": " - college_chemistry",
|
| 240 |
+
"acc,none": 0.37,
|
| 241 |
+
"acc_stderr,none": 0.04852365870939099
|
| 242 |
+
},
|
| 243 |
+
"mmlu_college_computer_science": {
|
| 244 |
+
"alias": " - college_computer_science",
|
| 245 |
+
"acc,none": 0.47,
|
| 246 |
+
"acc_stderr,none": 0.05016135580465919
|
| 247 |
+
},
|
| 248 |
+
"mmlu_college_mathematics": {
|
| 249 |
+
"alias": " - college_mathematics",
|
| 250 |
+
"acc,none": 0.37,
|
| 251 |
+
"acc_stderr,none": 0.048523658709391
|
| 252 |
+
},
|
| 253 |
+
"mmlu_college_physics": {
|
| 254 |
+
"alias": " - college_physics",
|
| 255 |
+
"acc,none": 0.38235294117647056,
|
| 256 |
+
"acc_stderr,none": 0.04835503696107223
|
| 257 |
+
},
|
| 258 |
+
"mmlu_computer_security": {
|
| 259 |
+
"alias": " - computer_security",
|
| 260 |
+
"acc,none": 0.7,
|
| 261 |
+
"acc_stderr,none": 0.046056618647183814
|
| 262 |
+
},
|
| 263 |
+
"mmlu_conceptual_physics": {
|
| 264 |
+
"alias": " - conceptual_physics",
|
| 265 |
+
"acc,none": 0.43829787234042555,
|
| 266 |
+
"acc_stderr,none": 0.03243618636108101
|
| 267 |
+
},
|
| 268 |
+
"mmlu_electrical_engineering": {
|
| 269 |
+
"alias": " - electrical_engineering",
|
| 270 |
+
"acc,none": 0.5517241379310345,
|
| 271 |
+
"acc_stderr,none": 0.041443118108781526
|
| 272 |
+
},
|
| 273 |
+
"mmlu_elementary_mathematics": {
|
| 274 |
+
"alias": " - elementary_mathematics",
|
| 275 |
+
"acc,none": 0.36507936507936506,
|
| 276 |
+
"acc_stderr,none": 0.024796060602699958
|
| 277 |
+
},
|
| 278 |
+
"mmlu_high_school_biology": {
|
| 279 |
+
"alias": " - high_school_biology",
|
| 280 |
+
"acc,none": 0.7129032258064516,
|
| 281 |
+
"acc_stderr,none": 0.025736542745594528
|
| 282 |
+
},
|
| 283 |
+
"mmlu_high_school_chemistry": {
|
| 284 |
+
"alias": " - high_school_chemistry",
|
| 285 |
+
"acc,none": 0.4433497536945813,
|
| 286 |
+
"acc_stderr,none": 0.03495334582162933
|
| 287 |
+
},
|
| 288 |
+
"mmlu_high_school_computer_science": {
|
| 289 |
+
"alias": " - high_school_computer_science",
|
| 290 |
+
"acc,none": 0.57,
|
| 291 |
+
"acc_stderr,none": 0.04975698519562428
|
| 292 |
+
},
|
| 293 |
+
"mmlu_high_school_mathematics": {
|
| 294 |
+
"alias": " - high_school_mathematics",
|
| 295 |
+
"acc,none": 0.2962962962962963,
|
| 296 |
+
"acc_stderr,none": 0.027840811495871937
|
| 297 |
+
},
|
| 298 |
+
"mmlu_high_school_physics": {
|
| 299 |
+
"alias": " - high_school_physics",
|
| 300 |
+
"acc,none": 0.3509933774834437,
|
| 301 |
+
"acc_stderr,none": 0.03896981964257375
|
| 302 |
+
},
|
| 303 |
+
"mmlu_high_school_statistics": {
|
| 304 |
+
"alias": " - high_school_statistics",
|
| 305 |
+
"acc,none": 0.49537037037037035,
|
| 306 |
+
"acc_stderr,none": 0.03409825519163572
|
| 307 |
+
},
|
| 308 |
+
"mmlu_machine_learning": {
|
| 309 |
+
"alias": " - machine_learning",
|
| 310 |
+
"acc,none": 0.4642857142857143,
|
| 311 |
+
"acc_stderr,none": 0.04733667890053756
|
| 312 |
+
}
|
| 313 |
+
},
|
| 314 |
+
"groups": {
|
| 315 |
+
"mmlu": {
|
| 316 |
+
"acc,none": 0.5616721264777097,
|
| 317 |
+
"acc_stderr,none": 0.12922245420838252,
|
| 318 |
+
"alias": "mmlu"
|
| 319 |
+
},
|
| 320 |
+
"mmlu_humanities": {
|
| 321 |
+
"alias": " - humanities",
|
| 322 |
+
"acc,none": 0.5094580233793836,
|
| 323 |
+
"acc_stderr,none": 0.1438564975883652
|
| 324 |
+
},
|
| 325 |
+
"mmlu_other": {
|
| 326 |
+
"alias": " - other",
|
| 327 |
+
"acc,none": 0.6298680399098808,
|
| 328 |
+
"acc_stderr,none": 0.10072231796338442
|
| 329 |
+
},
|
| 330 |
+
"mmlu_social_sciences": {
|
| 331 |
+
"alias": " - social_sciences",
|
| 332 |
+
"acc,none": 0.6603834904127397,
|
| 333 |
+
"acc_stderr,none": 0.09514680794625115
|
| 334 |
+
},
|
| 335 |
+
"mmlu_stem": {
|
| 336 |
+
"alias": " - stem",
|
| 337 |
+
"acc,none": 0.47605455122105933,
|
| 338 |
+
"acc_stderr,none": 0.11287864111088165
|
| 339 |
+
}
|
| 340 |
+
},
|
| 341 |
+
"configs": {
|
| 342 |
+
"mmlu_abstract_algebra": {
|
| 343 |
+
"task": "mmlu_abstract_algebra",
|
| 344 |
+
"task_alias": "abstract_algebra",
|
| 345 |
+
"group": "mmlu_stem",
|
| 346 |
+
"group_alias": "stem",
|
| 347 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 348 |
+
"dataset_name": "abstract_algebra",
|
| 349 |
+
"test_split": "test",
|
| 350 |
+
"fewshot_split": "dev",
|
| 351 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 352 |
+
"doc_to_target": "answer",
|
| 353 |
+
"doc_to_choice": [
|
| 354 |
+
"A",
|
| 355 |
+
"B",
|
| 356 |
+
"C",
|
| 357 |
+
"D"
|
| 358 |
+
],
|
| 359 |
+
"description": "The following are multiple choice questions (with answers) about abstract algebra.\n\n",
|
| 360 |
+
"target_delimiter": " ",
|
| 361 |
+
"fewshot_delimiter": "\n\n",
|
| 362 |
+
"fewshot_config": {
|
| 363 |
+
"sampler": "first_n"
|
| 364 |
+
},
|
| 365 |
+
"metric_list": [
|
| 366 |
+
{
|
| 367 |
+
"metric": "acc",
|
| 368 |
+
"aggregation": "mean",
|
| 369 |
+
"higher_is_better": true
|
| 370 |
+
}
|
| 371 |
+
],
|
| 372 |
+
"output_type": "multiple_choice",
|
| 373 |
+
"repeats": 1,
|
| 374 |
+
"should_decontaminate": false,
|
| 375 |
+
"metadata": {
|
| 376 |
+
"version": 0.0
|
| 377 |
+
}
|
| 378 |
+
},
|
| 379 |
+
"mmlu_anatomy": {
|
| 380 |
+
"task": "mmlu_anatomy",
|
| 381 |
+
"task_alias": "anatomy",
|
| 382 |
+
"group": "mmlu_stem",
|
| 383 |
+
"group_alias": "stem",
|
| 384 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 385 |
+
"dataset_name": "anatomy",
|
| 386 |
+
"test_split": "test",
|
| 387 |
+
"fewshot_split": "dev",
|
| 388 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 389 |
+
"doc_to_target": "answer",
|
| 390 |
+
"doc_to_choice": [
|
| 391 |
+
"A",
|
| 392 |
+
"B",
|
| 393 |
+
"C",
|
| 394 |
+
"D"
|
| 395 |
+
],
|
| 396 |
+
"description": "The following are multiple choice questions (with answers) about anatomy.\n\n",
|
| 397 |
+
"target_delimiter": " ",
|
| 398 |
+
"fewshot_delimiter": "\n\n",
|
| 399 |
+
"fewshot_config": {
|
| 400 |
+
"sampler": "first_n"
|
| 401 |
+
},
|
| 402 |
+
"metric_list": [
|
| 403 |
+
{
|
| 404 |
+
"metric": "acc",
|
| 405 |
+
"aggregation": "mean",
|
| 406 |
+
"higher_is_better": true
|
| 407 |
+
}
|
| 408 |
+
],
|
| 409 |
+
"output_type": "multiple_choice",
|
| 410 |
+
"repeats": 1,
|
| 411 |
+
"should_decontaminate": false,
|
| 412 |
+
"metadata": {
|
| 413 |
+
"version": 0.0
|
| 414 |
+
}
|
| 415 |
+
},
|
| 416 |
+
"mmlu_astronomy": {
|
| 417 |
+
"task": "mmlu_astronomy",
|
| 418 |
+
"task_alias": "astronomy",
|
| 419 |
+
"group": "mmlu_stem",
|
| 420 |
+
"group_alias": "stem",
|
| 421 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 422 |
+
"dataset_name": "astronomy",
|
| 423 |
+
"test_split": "test",
|
| 424 |
+
"fewshot_split": "dev",
|
| 425 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 426 |
+
"doc_to_target": "answer",
|
| 427 |
+
"doc_to_choice": [
|
| 428 |
+
"A",
|
| 429 |
+
"B",
|
| 430 |
+
"C",
|
| 431 |
+
"D"
|
| 432 |
+
],
|
| 433 |
+
"description": "The following are multiple choice questions (with answers) about astronomy.\n\n",
|
| 434 |
+
"target_delimiter": " ",
|
| 435 |
+
"fewshot_delimiter": "\n\n",
|
| 436 |
+
"fewshot_config": {
|
| 437 |
+
"sampler": "first_n"
|
| 438 |
+
},
|
| 439 |
+
"metric_list": [
|
| 440 |
+
{
|
| 441 |
+
"metric": "acc",
|
| 442 |
+
"aggregation": "mean",
|
| 443 |
+
"higher_is_better": true
|
| 444 |
+
}
|
| 445 |
+
],
|
| 446 |
+
"output_type": "multiple_choice",
|
| 447 |
+
"repeats": 1,
|
| 448 |
+
"should_decontaminate": false,
|
| 449 |
+
"metadata": {
|
| 450 |
+
"version": 0.0
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
"mmlu_business_ethics": {
|
| 454 |
+
"task": "mmlu_business_ethics",
|
| 455 |
+
"task_alias": "business_ethics",
|
| 456 |
+
"group": "mmlu_other",
|
| 457 |
+
"group_alias": "other",
|
| 458 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 459 |
+
"dataset_name": "business_ethics",
|
| 460 |
+
"test_split": "test",
|
| 461 |
+
"fewshot_split": "dev",
|
| 462 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 463 |
+
"doc_to_target": "answer",
|
| 464 |
+
"doc_to_choice": [
|
| 465 |
+
"A",
|
| 466 |
+
"B",
|
| 467 |
+
"C",
|
| 468 |
+
"D"
|
| 469 |
+
],
|
| 470 |
+
"description": "The following are multiple choice questions (with answers) about business ethics.\n\n",
|
| 471 |
+
"target_delimiter": " ",
|
| 472 |
+
"fewshot_delimiter": "\n\n",
|
| 473 |
+
"fewshot_config": {
|
| 474 |
+
"sampler": "first_n"
|
| 475 |
+
},
|
| 476 |
+
"metric_list": [
|
| 477 |
+
{
|
| 478 |
+
"metric": "acc",
|
| 479 |
+
"aggregation": "mean",
|
| 480 |
+
"higher_is_better": true
|
| 481 |
+
}
|
| 482 |
+
],
|
| 483 |
+
"output_type": "multiple_choice",
|
| 484 |
+
"repeats": 1,
|
| 485 |
+
"should_decontaminate": false,
|
| 486 |
+
"metadata": {
|
| 487 |
+
"version": 0.0
|
| 488 |
+
}
|
| 489 |
+
},
|
| 490 |
+
"mmlu_clinical_knowledge": {
|
| 491 |
+
"task": "mmlu_clinical_knowledge",
|
| 492 |
+
"task_alias": "clinical_knowledge",
|
| 493 |
+
"group": "mmlu_other",
|
| 494 |
+
"group_alias": "other",
|
| 495 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 496 |
+
"dataset_name": "clinical_knowledge",
|
| 497 |
+
"test_split": "test",
|
| 498 |
+
"fewshot_split": "dev",
|
| 499 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 500 |
+
"doc_to_target": "answer",
|
| 501 |
+
"doc_to_choice": [
|
| 502 |
+
"A",
|
| 503 |
+
"B",
|
| 504 |
+
"C",
|
| 505 |
+
"D"
|
| 506 |
+
],
|
| 507 |
+
"description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n",
|
| 508 |
+
"target_delimiter": " ",
|
| 509 |
+
"fewshot_delimiter": "\n\n",
|
| 510 |
+
"fewshot_config": {
|
| 511 |
+
"sampler": "first_n"
|
| 512 |
+
},
|
| 513 |
+
"metric_list": [
|
| 514 |
+
{
|
| 515 |
+
"metric": "acc",
|
| 516 |
+
"aggregation": "mean",
|
| 517 |
+
"higher_is_better": true
|
| 518 |
+
}
|
| 519 |
+
],
|
| 520 |
+
"output_type": "multiple_choice",
|
| 521 |
+
"repeats": 1,
|
| 522 |
+
"should_decontaminate": false,
|
| 523 |
+
"metadata": {
|
| 524 |
+
"version": 0.0
|
| 525 |
+
}
|
| 526 |
+
},
|
| 527 |
+
"mmlu_college_biology": {
|
| 528 |
+
"task": "mmlu_college_biology",
|
| 529 |
+
"task_alias": "college_biology",
|
| 530 |
+
"group": "mmlu_stem",
|
| 531 |
+
"group_alias": "stem",
|
| 532 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 533 |
+
"dataset_name": "college_biology",
|
| 534 |
+
"test_split": "test",
|
| 535 |
+
"fewshot_split": "dev",
|
| 536 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 537 |
+
"doc_to_target": "answer",
|
| 538 |
+
"doc_to_choice": [
|
| 539 |
+
"A",
|
| 540 |
+
"B",
|
| 541 |
+
"C",
|
| 542 |
+
"D"
|
| 543 |
+
],
|
| 544 |
+
"description": "The following are multiple choice questions (with answers) about college biology.\n\n",
|
| 545 |
+
"target_delimiter": " ",
|
| 546 |
+
"fewshot_delimiter": "\n\n",
|
| 547 |
+
"fewshot_config": {
|
| 548 |
+
"sampler": "first_n"
|
| 549 |
+
},
|
| 550 |
+
"metric_list": [
|
| 551 |
+
{
|
| 552 |
+
"metric": "acc",
|
| 553 |
+
"aggregation": "mean",
|
| 554 |
+
"higher_is_better": true
|
| 555 |
+
}
|
| 556 |
+
],
|
| 557 |
+
"output_type": "multiple_choice",
|
| 558 |
+
"repeats": 1,
|
| 559 |
+
"should_decontaminate": false,
|
| 560 |
+
"metadata": {
|
| 561 |
+
"version": 0.0
|
| 562 |
+
}
|
| 563 |
+
},
|
| 564 |
+
"mmlu_college_chemistry": {
|
| 565 |
+
"task": "mmlu_college_chemistry",
|
| 566 |
+
"task_alias": "college_chemistry",
|
| 567 |
+
"group": "mmlu_stem",
|
| 568 |
+
"group_alias": "stem",
|
| 569 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 570 |
+
"dataset_name": "college_chemistry",
|
| 571 |
+
"test_split": "test",
|
| 572 |
+
"fewshot_split": "dev",
|
| 573 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 574 |
+
"doc_to_target": "answer",
|
| 575 |
+
"doc_to_choice": [
|
| 576 |
+
"A",
|
| 577 |
+
"B",
|
| 578 |
+
"C",
|
| 579 |
+
"D"
|
| 580 |
+
],
|
| 581 |
+
"description": "The following are multiple choice questions (with answers) about college chemistry.\n\n",
|
| 582 |
+
"target_delimiter": " ",
|
| 583 |
+
"fewshot_delimiter": "\n\n",
|
| 584 |
+
"fewshot_config": {
|
| 585 |
+
"sampler": "first_n"
|
| 586 |
+
},
|
| 587 |
+
"metric_list": [
|
| 588 |
+
{
|
| 589 |
+
"metric": "acc",
|
| 590 |
+
"aggregation": "mean",
|
| 591 |
+
"higher_is_better": true
|
| 592 |
+
}
|
| 593 |
+
],
|
| 594 |
+
"output_type": "multiple_choice",
|
| 595 |
+
"repeats": 1,
|
| 596 |
+
"should_decontaminate": false,
|
| 597 |
+
"metadata": {
|
| 598 |
+
"version": 0.0
|
| 599 |
+
}
|
| 600 |
+
},
|
| 601 |
+
"mmlu_college_computer_science": {
|
| 602 |
+
"task": "mmlu_college_computer_science",
|
| 603 |
+
"task_alias": "college_computer_science",
|
| 604 |
+
"group": "mmlu_stem",
|
| 605 |
+
"group_alias": "stem",
|
| 606 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 607 |
+
"dataset_name": "college_computer_science",
|
| 608 |
+
"test_split": "test",
|
| 609 |
+
"fewshot_split": "dev",
|
| 610 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 611 |
+
"doc_to_target": "answer",
|
| 612 |
+
"doc_to_choice": [
|
| 613 |
+
"A",
|
| 614 |
+
"B",
|
| 615 |
+
"C",
|
| 616 |
+
"D"
|
| 617 |
+
],
|
| 618 |
+
"description": "The following are multiple choice questions (with answers) about college computer science.\n\n",
|
| 619 |
+
"target_delimiter": " ",
|
| 620 |
+
"fewshot_delimiter": "\n\n",
|
| 621 |
+
"fewshot_config": {
|
| 622 |
+
"sampler": "first_n"
|
| 623 |
+
},
|
| 624 |
+
"metric_list": [
|
| 625 |
+
{
|
| 626 |
+
"metric": "acc",
|
| 627 |
+
"aggregation": "mean",
|
| 628 |
+
"higher_is_better": true
|
| 629 |
+
}
|
| 630 |
+
],
|
| 631 |
+
"output_type": "multiple_choice",
|
| 632 |
+
"repeats": 1,
|
| 633 |
+
"should_decontaminate": false,
|
| 634 |
+
"metadata": {
|
| 635 |
+
"version": 0.0
|
| 636 |
+
}
|
| 637 |
+
},
|
| 638 |
+
"mmlu_college_mathematics": {
|
| 639 |
+
"task": "mmlu_college_mathematics",
|
| 640 |
+
"task_alias": "college_mathematics",
|
| 641 |
+
"group": "mmlu_stem",
|
| 642 |
+
"group_alias": "stem",
|
| 643 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 644 |
+
"dataset_name": "college_mathematics",
|
| 645 |
+
"test_split": "test",
|
| 646 |
+
"fewshot_split": "dev",
|
| 647 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 648 |
+
"doc_to_target": "answer",
|
| 649 |
+
"doc_to_choice": [
|
| 650 |
+
"A",
|
| 651 |
+
"B",
|
| 652 |
+
"C",
|
| 653 |
+
"D"
|
| 654 |
+
],
|
| 655 |
+
"description": "The following are multiple choice questions (with answers) about college mathematics.\n\n",
|
| 656 |
+
"target_delimiter": " ",
|
| 657 |
+
"fewshot_delimiter": "\n\n",
|
| 658 |
+
"fewshot_config": {
|
| 659 |
+
"sampler": "first_n"
|
| 660 |
+
},
|
| 661 |
+
"metric_list": [
|
| 662 |
+
{
|
| 663 |
+
"metric": "acc",
|
| 664 |
+
"aggregation": "mean",
|
| 665 |
+
"higher_is_better": true
|
| 666 |
+
}
|
| 667 |
+
],
|
| 668 |
+
"output_type": "multiple_choice",
|
| 669 |
+
"repeats": 1,
|
| 670 |
+
"should_decontaminate": false,
|
| 671 |
+
"metadata": {
|
| 672 |
+
"version": 0.0
|
| 673 |
+
}
|
| 674 |
+
},
|
| 675 |
+
"mmlu_college_medicine": {
|
| 676 |
+
"task": "mmlu_college_medicine",
|
| 677 |
+
"task_alias": "college_medicine",
|
| 678 |
+
"group": "mmlu_other",
|
| 679 |
+
"group_alias": "other",
|
| 680 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 681 |
+
"dataset_name": "college_medicine",
|
| 682 |
+
"test_split": "test",
|
| 683 |
+
"fewshot_split": "dev",
|
| 684 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 685 |
+
"doc_to_target": "answer",
|
| 686 |
+
"doc_to_choice": [
|
| 687 |
+
"A",
|
| 688 |
+
"B",
|
| 689 |
+
"C",
|
| 690 |
+
"D"
|
| 691 |
+
],
|
| 692 |
+
"description": "The following are multiple choice questions (with answers) about college medicine.\n\n",
|
| 693 |
+
"target_delimiter": " ",
|
| 694 |
+
"fewshot_delimiter": "\n\n",
|
| 695 |
+
"fewshot_config": {
|
| 696 |
+
"sampler": "first_n"
|
| 697 |
+
},
|
| 698 |
+
"metric_list": [
|
| 699 |
+
{
|
| 700 |
+
"metric": "acc",
|
| 701 |
+
"aggregation": "mean",
|
| 702 |
+
"higher_is_better": true
|
| 703 |
+
}
|
| 704 |
+
],
|
| 705 |
+
"output_type": "multiple_choice",
|
| 706 |
+
"repeats": 1,
|
| 707 |
+
"should_decontaminate": false,
|
| 708 |
+
"metadata": {
|
| 709 |
+
"version": 0.0
|
| 710 |
+
}
|
| 711 |
+
},
|
| 712 |
+
"mmlu_college_physics": {
|
| 713 |
+
"task": "mmlu_college_physics",
|
| 714 |
+
"task_alias": "college_physics",
|
| 715 |
+
"group": "mmlu_stem",
|
| 716 |
+
"group_alias": "stem",
|
| 717 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 718 |
+
"dataset_name": "college_physics",
|
| 719 |
+
"test_split": "test",
|
| 720 |
+
"fewshot_split": "dev",
|
| 721 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 722 |
+
"doc_to_target": "answer",
|
| 723 |
+
"doc_to_choice": [
|
| 724 |
+
"A",
|
| 725 |
+
"B",
|
| 726 |
+
"C",
|
| 727 |
+
"D"
|
| 728 |
+
],
|
| 729 |
+
"description": "The following are multiple choice questions (with answers) about college physics.\n\n",
|
| 730 |
+
"target_delimiter": " ",
|
| 731 |
+
"fewshot_delimiter": "\n\n",
|
| 732 |
+
"fewshot_config": {
|
| 733 |
+
"sampler": "first_n"
|
| 734 |
+
},
|
| 735 |
+
"metric_list": [
|
| 736 |
+
{
|
| 737 |
+
"metric": "acc",
|
| 738 |
+
"aggregation": "mean",
|
| 739 |
+
"higher_is_better": true
|
| 740 |
+
}
|
| 741 |
+
],
|
| 742 |
+
"output_type": "multiple_choice",
|
| 743 |
+
"repeats": 1,
|
| 744 |
+
"should_decontaminate": false,
|
| 745 |
+
"metadata": {
|
| 746 |
+
"version": 0.0
|
| 747 |
+
}
|
| 748 |
+
},
|
| 749 |
+
"mmlu_computer_security": {
|
| 750 |
+
"task": "mmlu_computer_security",
|
| 751 |
+
"task_alias": "computer_security",
|
| 752 |
+
"group": "mmlu_stem",
|
| 753 |
+
"group_alias": "stem",
|
| 754 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 755 |
+
"dataset_name": "computer_security",
|
| 756 |
+
"test_split": "test",
|
| 757 |
+
"fewshot_split": "dev",
|
| 758 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 759 |
+
"doc_to_target": "answer",
|
| 760 |
+
"doc_to_choice": [
|
| 761 |
+
"A",
|
| 762 |
+
"B",
|
| 763 |
+
"C",
|
| 764 |
+
"D"
|
| 765 |
+
],
|
| 766 |
+
"description": "The following are multiple choice questions (with answers) about computer security.\n\n",
|
| 767 |
+
"target_delimiter": " ",
|
| 768 |
+
"fewshot_delimiter": "\n\n",
|
| 769 |
+
"fewshot_config": {
|
| 770 |
+
"sampler": "first_n"
|
| 771 |
+
},
|
| 772 |
+
"metric_list": [
|
| 773 |
+
{
|
| 774 |
+
"metric": "acc",
|
| 775 |
+
"aggregation": "mean",
|
| 776 |
+
"higher_is_better": true
|
| 777 |
+
}
|
| 778 |
+
],
|
| 779 |
+
"output_type": "multiple_choice",
|
| 780 |
+
"repeats": 1,
|
| 781 |
+
"should_decontaminate": false,
|
| 782 |
+
"metadata": {
|
| 783 |
+
"version": 0.0
|
| 784 |
+
}
|
| 785 |
+
},
|
| 786 |
+
"mmlu_conceptual_physics": {
|
| 787 |
+
"task": "mmlu_conceptual_physics",
|
| 788 |
+
"task_alias": "conceptual_physics",
|
| 789 |
+
"group": "mmlu_stem",
|
| 790 |
+
"group_alias": "stem",
|
| 791 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 792 |
+
"dataset_name": "conceptual_physics",
|
| 793 |
+
"test_split": "test",
|
| 794 |
+
"fewshot_split": "dev",
|
| 795 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 796 |
+
"doc_to_target": "answer",
|
| 797 |
+
"doc_to_choice": [
|
| 798 |
+
"A",
|
| 799 |
+
"B",
|
| 800 |
+
"C",
|
| 801 |
+
"D"
|
| 802 |
+
],
|
| 803 |
+
"description": "The following are multiple choice questions (with answers) about conceptual physics.\n\n",
|
| 804 |
+
"target_delimiter": " ",
|
| 805 |
+
"fewshot_delimiter": "\n\n",
|
| 806 |
+
"fewshot_config": {
|
| 807 |
+
"sampler": "first_n"
|
| 808 |
+
},
|
| 809 |
+
"metric_list": [
|
| 810 |
+
{
|
| 811 |
+
"metric": "acc",
|
| 812 |
+
"aggregation": "mean",
|
| 813 |
+
"higher_is_better": true
|
| 814 |
+
}
|
| 815 |
+
],
|
| 816 |
+
"output_type": "multiple_choice",
|
| 817 |
+
"repeats": 1,
|
| 818 |
+
"should_decontaminate": false,
|
| 819 |
+
"metadata": {
|
| 820 |
+
"version": 0.0
|
| 821 |
+
}
|
| 822 |
+
},
|
| 823 |
+
"mmlu_econometrics": {
|
| 824 |
+
"task": "mmlu_econometrics",
|
| 825 |
+
"task_alias": "econometrics",
|
| 826 |
+
"group": "mmlu_social_sciences",
|
| 827 |
+
"group_alias": "social_sciences",
|
| 828 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 829 |
+
"dataset_name": "econometrics",
|
| 830 |
+
"test_split": "test",
|
| 831 |
+
"fewshot_split": "dev",
|
| 832 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 833 |
+
"doc_to_target": "answer",
|
| 834 |
+
"doc_to_choice": [
|
| 835 |
+
"A",
|
| 836 |
+
"B",
|
| 837 |
+
"C",
|
| 838 |
+
"D"
|
| 839 |
+
],
|
| 840 |
+
"description": "The following are multiple choice questions (with answers) about econometrics.\n\n",
|
| 841 |
+
"target_delimiter": " ",
|
| 842 |
+
"fewshot_delimiter": "\n\n",
|
| 843 |
+
"fewshot_config": {
|
| 844 |
+
"sampler": "first_n"
|
| 845 |
+
},
|
| 846 |
+
"metric_list": [
|
| 847 |
+
{
|
| 848 |
+
"metric": "acc",
|
| 849 |
+
"aggregation": "mean",
|
| 850 |
+
"higher_is_better": true
|
| 851 |
+
}
|
| 852 |
+
],
|
| 853 |
+
"output_type": "multiple_choice",
|
| 854 |
+
"repeats": 1,
|
| 855 |
+
"should_decontaminate": false,
|
| 856 |
+
"metadata": {
|
| 857 |
+
"version": 0.0
|
| 858 |
+
}
|
| 859 |
+
},
|
| 860 |
+
"mmlu_electrical_engineering": {
|
| 861 |
+
"task": "mmlu_electrical_engineering",
|
| 862 |
+
"task_alias": "electrical_engineering",
|
| 863 |
+
"group": "mmlu_stem",
|
| 864 |
+
"group_alias": "stem",
|
| 865 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 866 |
+
"dataset_name": "electrical_engineering",
|
| 867 |
+
"test_split": "test",
|
| 868 |
+
"fewshot_split": "dev",
|
| 869 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 870 |
+
"doc_to_target": "answer",
|
| 871 |
+
"doc_to_choice": [
|
| 872 |
+
"A",
|
| 873 |
+
"B",
|
| 874 |
+
"C",
|
| 875 |
+
"D"
|
| 876 |
+
],
|
| 877 |
+
"description": "The following are multiple choice questions (with answers) about electrical engineering.\n\n",
|
| 878 |
+
"target_delimiter": " ",
|
| 879 |
+
"fewshot_delimiter": "\n\n",
|
| 880 |
+
"fewshot_config": {
|
| 881 |
+
"sampler": "first_n"
|
| 882 |
+
},
|
| 883 |
+
"metric_list": [
|
| 884 |
+
{
|
| 885 |
+
"metric": "acc",
|
| 886 |
+
"aggregation": "mean",
|
| 887 |
+
"higher_is_better": true
|
| 888 |
+
}
|
| 889 |
+
],
|
| 890 |
+
"output_type": "multiple_choice",
|
| 891 |
+
"repeats": 1,
|
| 892 |
+
"should_decontaminate": false,
|
| 893 |
+
"metadata": {
|
| 894 |
+
"version": 0.0
|
| 895 |
+
}
|
| 896 |
+
},
|
| 897 |
+
"mmlu_elementary_mathematics": {
|
| 898 |
+
"task": "mmlu_elementary_mathematics",
|
| 899 |
+
"task_alias": "elementary_mathematics",
|
| 900 |
+
"group": "mmlu_stem",
|
| 901 |
+
"group_alias": "stem",
|
| 902 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 903 |
+
"dataset_name": "elementary_mathematics",
|
| 904 |
+
"test_split": "test",
|
| 905 |
+
"fewshot_split": "dev",
|
| 906 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 907 |
+
"doc_to_target": "answer",
|
| 908 |
+
"doc_to_choice": [
|
| 909 |
+
"A",
|
| 910 |
+
"B",
|
| 911 |
+
"C",
|
| 912 |
+
"D"
|
| 913 |
+
],
|
| 914 |
+
"description": "The following are multiple choice questions (with answers) about elementary mathematics.\n\n",
|
| 915 |
+
"target_delimiter": " ",
|
| 916 |
+
"fewshot_delimiter": "\n\n",
|
| 917 |
+
"fewshot_config": {
|
| 918 |
+
"sampler": "first_n"
|
| 919 |
+
},
|
| 920 |
+
"metric_list": [
|
| 921 |
+
{
|
| 922 |
+
"metric": "acc",
|
| 923 |
+
"aggregation": "mean",
|
| 924 |
+
"higher_is_better": true
|
| 925 |
+
}
|
| 926 |
+
],
|
| 927 |
+
"output_type": "multiple_choice",
|
| 928 |
+
"repeats": 1,
|
| 929 |
+
"should_decontaminate": false,
|
| 930 |
+
"metadata": {
|
| 931 |
+
"version": 0.0
|
| 932 |
+
}
|
| 933 |
+
},
|
| 934 |
+
"mmlu_formal_logic": {
|
| 935 |
+
"task": "mmlu_formal_logic",
|
| 936 |
+
"task_alias": "formal_logic",
|
| 937 |
+
"group": "mmlu_humanities",
|
| 938 |
+
"group_alias": "humanities",
|
| 939 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 940 |
+
"dataset_name": "formal_logic",
|
| 941 |
+
"test_split": "test",
|
| 942 |
+
"fewshot_split": "dev",
|
| 943 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 944 |
+
"doc_to_target": "answer",
|
| 945 |
+
"doc_to_choice": [
|
| 946 |
+
"A",
|
| 947 |
+
"B",
|
| 948 |
+
"C",
|
| 949 |
+
"D"
|
| 950 |
+
],
|
| 951 |
+
"description": "The following are multiple choice questions (with answers) about formal logic.\n\n",
|
| 952 |
+
"target_delimiter": " ",
|
| 953 |
+
"fewshot_delimiter": "\n\n",
|
| 954 |
+
"fewshot_config": {
|
| 955 |
+
"sampler": "first_n"
|
| 956 |
+
},
|
| 957 |
+
"metric_list": [
|
| 958 |
+
{
|
| 959 |
+
"metric": "acc",
|
| 960 |
+
"aggregation": "mean",
|
| 961 |
+
"higher_is_better": true
|
| 962 |
+
}
|
| 963 |
+
],
|
| 964 |
+
"output_type": "multiple_choice",
|
| 965 |
+
"repeats": 1,
|
| 966 |
+
"should_decontaminate": false,
|
| 967 |
+
"metadata": {
|
| 968 |
+
"version": 0.0
|
| 969 |
+
}
|
| 970 |
+
},
|
| 971 |
+
"mmlu_global_facts": {
|
| 972 |
+
"task": "mmlu_global_facts",
|
| 973 |
+
"task_alias": "global_facts",
|
| 974 |
+
"group": "mmlu_other",
|
| 975 |
+
"group_alias": "other",
|
| 976 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 977 |
+
"dataset_name": "global_facts",
|
| 978 |
+
"test_split": "test",
|
| 979 |
+
"fewshot_split": "dev",
|
| 980 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 981 |
+
"doc_to_target": "answer",
|
| 982 |
+
"doc_to_choice": [
|
| 983 |
+
"A",
|
| 984 |
+
"B",
|
| 985 |
+
"C",
|
| 986 |
+
"D"
|
| 987 |
+
],
|
| 988 |
+
"description": "The following are multiple choice questions (with answers) about global facts.\n\n",
|
| 989 |
+
"target_delimiter": " ",
|
| 990 |
+
"fewshot_delimiter": "\n\n",
|
| 991 |
+
"fewshot_config": {
|
| 992 |
+
"sampler": "first_n"
|
| 993 |
+
},
|
| 994 |
+
"metric_list": [
|
| 995 |
+
{
|
| 996 |
+
"metric": "acc",
|
| 997 |
+
"aggregation": "mean",
|
| 998 |
+
"higher_is_better": true
|
| 999 |
+
}
|
| 1000 |
+
],
|
| 1001 |
+
"output_type": "multiple_choice",
|
| 1002 |
+
"repeats": 1,
|
| 1003 |
+
"should_decontaminate": false,
|
| 1004 |
+
"metadata": {
|
| 1005 |
+
"version": 0.0
|
| 1006 |
+
}
|
| 1007 |
+
},
|
| 1008 |
+
"mmlu_high_school_biology": {
|
| 1009 |
+
"task": "mmlu_high_school_biology",
|
| 1010 |
+
"task_alias": "high_school_biology",
|
| 1011 |
+
"group": "mmlu_stem",
|
| 1012 |
+
"group_alias": "stem",
|
| 1013 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1014 |
+
"dataset_name": "high_school_biology",
|
| 1015 |
+
"test_split": "test",
|
| 1016 |
+
"fewshot_split": "dev",
|
| 1017 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1018 |
+
"doc_to_target": "answer",
|
| 1019 |
+
"doc_to_choice": [
|
| 1020 |
+
"A",
|
| 1021 |
+
"B",
|
| 1022 |
+
"C",
|
| 1023 |
+
"D"
|
| 1024 |
+
],
|
| 1025 |
+
"description": "The following are multiple choice questions (with answers) about high school biology.\n\n",
|
| 1026 |
+
"target_delimiter": " ",
|
| 1027 |
+
"fewshot_delimiter": "\n\n",
|
| 1028 |
+
"fewshot_config": {
|
| 1029 |
+
"sampler": "first_n"
|
| 1030 |
+
},
|
| 1031 |
+
"metric_list": [
|
| 1032 |
+
{
|
| 1033 |
+
"metric": "acc",
|
| 1034 |
+
"aggregation": "mean",
|
| 1035 |
+
"higher_is_better": true
|
| 1036 |
+
}
|
| 1037 |
+
],
|
| 1038 |
+
"output_type": "multiple_choice",
|
| 1039 |
+
"repeats": 1,
|
| 1040 |
+
"should_decontaminate": false,
|
| 1041 |
+
"metadata": {
|
| 1042 |
+
"version": 0.0
|
| 1043 |
+
}
|
| 1044 |
+
},
|
| 1045 |
+
"mmlu_high_school_chemistry": {
|
| 1046 |
+
"task": "mmlu_high_school_chemistry",
|
| 1047 |
+
"task_alias": "high_school_chemistry",
|
| 1048 |
+
"group": "mmlu_stem",
|
| 1049 |
+
"group_alias": "stem",
|
| 1050 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1051 |
+
"dataset_name": "high_school_chemistry",
|
| 1052 |
+
"test_split": "test",
|
| 1053 |
+
"fewshot_split": "dev",
|
| 1054 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1055 |
+
"doc_to_target": "answer",
|
| 1056 |
+
"doc_to_choice": [
|
| 1057 |
+
"A",
|
| 1058 |
+
"B",
|
| 1059 |
+
"C",
|
| 1060 |
+
"D"
|
| 1061 |
+
],
|
| 1062 |
+
"description": "The following are multiple choice questions (with answers) about high school chemistry.\n\n",
|
| 1063 |
+
"target_delimiter": " ",
|
| 1064 |
+
"fewshot_delimiter": "\n\n",
|
| 1065 |
+
"fewshot_config": {
|
| 1066 |
+
"sampler": "first_n"
|
| 1067 |
+
},
|
| 1068 |
+
"metric_list": [
|
| 1069 |
+
{
|
| 1070 |
+
"metric": "acc",
|
| 1071 |
+
"aggregation": "mean",
|
| 1072 |
+
"higher_is_better": true
|
| 1073 |
+
}
|
| 1074 |
+
],
|
| 1075 |
+
"output_type": "multiple_choice",
|
| 1076 |
+
"repeats": 1,
|
| 1077 |
+
"should_decontaminate": false,
|
| 1078 |
+
"metadata": {
|
| 1079 |
+
"version": 0.0
|
| 1080 |
+
}
|
| 1081 |
+
},
|
| 1082 |
+
"mmlu_high_school_computer_science": {
|
| 1083 |
+
"task": "mmlu_high_school_computer_science",
|
| 1084 |
+
"task_alias": "high_school_computer_science",
|
| 1085 |
+
"group": "mmlu_stem",
|
| 1086 |
+
"group_alias": "stem",
|
| 1087 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1088 |
+
"dataset_name": "high_school_computer_science",
|
| 1089 |
+
"test_split": "test",
|
| 1090 |
+
"fewshot_split": "dev",
|
| 1091 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1092 |
+
"doc_to_target": "answer",
|
| 1093 |
+
"doc_to_choice": [
|
| 1094 |
+
"A",
|
| 1095 |
+
"B",
|
| 1096 |
+
"C",
|
| 1097 |
+
"D"
|
| 1098 |
+
],
|
| 1099 |
+
"description": "The following are multiple choice questions (with answers) about high school computer science.\n\n",
|
| 1100 |
+
"target_delimiter": " ",
|
| 1101 |
+
"fewshot_delimiter": "\n\n",
|
| 1102 |
+
"fewshot_config": {
|
| 1103 |
+
"sampler": "first_n"
|
| 1104 |
+
},
|
| 1105 |
+
"metric_list": [
|
| 1106 |
+
{
|
| 1107 |
+
"metric": "acc",
|
| 1108 |
+
"aggregation": "mean",
|
| 1109 |
+
"higher_is_better": true
|
| 1110 |
+
}
|
| 1111 |
+
],
|
| 1112 |
+
"output_type": "multiple_choice",
|
| 1113 |
+
"repeats": 1,
|
| 1114 |
+
"should_decontaminate": false,
|
| 1115 |
+
"metadata": {
|
| 1116 |
+
"version": 0.0
|
| 1117 |
+
}
|
| 1118 |
+
},
|
| 1119 |
+
"mmlu_high_school_european_history": {
|
| 1120 |
+
"task": "mmlu_high_school_european_history",
|
| 1121 |
+
"task_alias": "high_school_european_history",
|
| 1122 |
+
"group": "mmlu_humanities",
|
| 1123 |
+
"group_alias": "humanities",
|
| 1124 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1125 |
+
"dataset_name": "high_school_european_history",
|
| 1126 |
+
"test_split": "test",
|
| 1127 |
+
"fewshot_split": "dev",
|
| 1128 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1129 |
+
"doc_to_target": "answer",
|
| 1130 |
+
"doc_to_choice": [
|
| 1131 |
+
"A",
|
| 1132 |
+
"B",
|
| 1133 |
+
"C",
|
| 1134 |
+
"D"
|
| 1135 |
+
],
|
| 1136 |
+
"description": "The following are multiple choice questions (with answers) about high school european history.\n\n",
|
| 1137 |
+
"target_delimiter": " ",
|
| 1138 |
+
"fewshot_delimiter": "\n\n",
|
| 1139 |
+
"fewshot_config": {
|
| 1140 |
+
"sampler": "first_n"
|
| 1141 |
+
},
|
| 1142 |
+
"metric_list": [
|
| 1143 |
+
{
|
| 1144 |
+
"metric": "acc",
|
| 1145 |
+
"aggregation": "mean",
|
| 1146 |
+
"higher_is_better": true
|
| 1147 |
+
}
|
| 1148 |
+
],
|
| 1149 |
+
"output_type": "multiple_choice",
|
| 1150 |
+
"repeats": 1,
|
| 1151 |
+
"should_decontaminate": false,
|
| 1152 |
+
"metadata": {
|
| 1153 |
+
"version": 0.0
|
| 1154 |
+
}
|
| 1155 |
+
},
|
| 1156 |
+
"mmlu_high_school_geography": {
|
| 1157 |
+
"task": "mmlu_high_school_geography",
|
| 1158 |
+
"task_alias": "high_school_geography",
|
| 1159 |
+
"group": "mmlu_social_sciences",
|
| 1160 |
+
"group_alias": "social_sciences",
|
| 1161 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1162 |
+
"dataset_name": "high_school_geography",
|
| 1163 |
+
"test_split": "test",
|
| 1164 |
+
"fewshot_split": "dev",
|
| 1165 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1166 |
+
"doc_to_target": "answer",
|
| 1167 |
+
"doc_to_choice": [
|
| 1168 |
+
"A",
|
| 1169 |
+
"B",
|
| 1170 |
+
"C",
|
| 1171 |
+
"D"
|
| 1172 |
+
],
|
| 1173 |
+
"description": "The following are multiple choice questions (with answers) about high school geography.\n\n",
|
| 1174 |
+
"target_delimiter": " ",
|
| 1175 |
+
"fewshot_delimiter": "\n\n",
|
| 1176 |
+
"fewshot_config": {
|
| 1177 |
+
"sampler": "first_n"
|
| 1178 |
+
},
|
| 1179 |
+
"metric_list": [
|
| 1180 |
+
{
|
| 1181 |
+
"metric": "acc",
|
| 1182 |
+
"aggregation": "mean",
|
| 1183 |
+
"higher_is_better": true
|
| 1184 |
+
}
|
| 1185 |
+
],
|
| 1186 |
+
"output_type": "multiple_choice",
|
| 1187 |
+
"repeats": 1,
|
| 1188 |
+
"should_decontaminate": false,
|
| 1189 |
+
"metadata": {
|
| 1190 |
+
"version": 0.0
|
| 1191 |
+
}
|
| 1192 |
+
},
|
| 1193 |
+
"mmlu_high_school_government_and_politics": {
|
| 1194 |
+
"task": "mmlu_high_school_government_and_politics",
|
| 1195 |
+
"task_alias": "high_school_government_and_politics",
|
| 1196 |
+
"group": "mmlu_social_sciences",
|
| 1197 |
+
"group_alias": "social_sciences",
|
| 1198 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1199 |
+
"dataset_name": "high_school_government_and_politics",
|
| 1200 |
+
"test_split": "test",
|
| 1201 |
+
"fewshot_split": "dev",
|
| 1202 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1203 |
+
"doc_to_target": "answer",
|
| 1204 |
+
"doc_to_choice": [
|
| 1205 |
+
"A",
|
| 1206 |
+
"B",
|
| 1207 |
+
"C",
|
| 1208 |
+
"D"
|
| 1209 |
+
],
|
| 1210 |
+
"description": "The following are multiple choice questions (with answers) about high school government and politics.\n\n",
|
| 1211 |
+
"target_delimiter": " ",
|
| 1212 |
+
"fewshot_delimiter": "\n\n",
|
| 1213 |
+
"fewshot_config": {
|
| 1214 |
+
"sampler": "first_n"
|
| 1215 |
+
},
|
| 1216 |
+
"metric_list": [
|
| 1217 |
+
{
|
| 1218 |
+
"metric": "acc",
|
| 1219 |
+
"aggregation": "mean",
|
| 1220 |
+
"higher_is_better": true
|
| 1221 |
+
}
|
| 1222 |
+
],
|
| 1223 |
+
"output_type": "multiple_choice",
|
| 1224 |
+
"repeats": 1,
|
| 1225 |
+
"should_decontaminate": false,
|
| 1226 |
+
"metadata": {
|
| 1227 |
+
"version": 0.0
|
| 1228 |
+
}
|
| 1229 |
+
},
|
| 1230 |
+
"mmlu_high_school_macroeconomics": {
|
| 1231 |
+
"task": "mmlu_high_school_macroeconomics",
|
| 1232 |
+
"task_alias": "high_school_macroeconomics",
|
| 1233 |
+
"group": "mmlu_social_sciences",
|
| 1234 |
+
"group_alias": "social_sciences",
|
| 1235 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1236 |
+
"dataset_name": "high_school_macroeconomics",
|
| 1237 |
+
"test_split": "test",
|
| 1238 |
+
"fewshot_split": "dev",
|
| 1239 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1240 |
+
"doc_to_target": "answer",
|
| 1241 |
+
"doc_to_choice": [
|
| 1242 |
+
"A",
|
| 1243 |
+
"B",
|
| 1244 |
+
"C",
|
| 1245 |
+
"D"
|
| 1246 |
+
],
|
| 1247 |
+
"description": "The following are multiple choice questions (with answers) about high school macroeconomics.\n\n",
|
| 1248 |
+
"target_delimiter": " ",
|
| 1249 |
+
"fewshot_delimiter": "\n\n",
|
| 1250 |
+
"fewshot_config": {
|
| 1251 |
+
"sampler": "first_n"
|
| 1252 |
+
},
|
| 1253 |
+
"metric_list": [
|
| 1254 |
+
{
|
| 1255 |
+
"metric": "acc",
|
| 1256 |
+
"aggregation": "mean",
|
| 1257 |
+
"higher_is_better": true
|
| 1258 |
+
}
|
| 1259 |
+
],
|
| 1260 |
+
"output_type": "multiple_choice",
|
| 1261 |
+
"repeats": 1,
|
| 1262 |
+
"should_decontaminate": false,
|
| 1263 |
+
"metadata": {
|
| 1264 |
+
"version": 0.0
|
| 1265 |
+
}
|
| 1266 |
+
},
|
| 1267 |
+
"mmlu_high_school_mathematics": {
|
| 1268 |
+
"task": "mmlu_high_school_mathematics",
|
| 1269 |
+
"task_alias": "high_school_mathematics",
|
| 1270 |
+
"group": "mmlu_stem",
|
| 1271 |
+
"group_alias": "stem",
|
| 1272 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1273 |
+
"dataset_name": "high_school_mathematics",
|
| 1274 |
+
"test_split": "test",
|
| 1275 |
+
"fewshot_split": "dev",
|
| 1276 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1277 |
+
"doc_to_target": "answer",
|
| 1278 |
+
"doc_to_choice": [
|
| 1279 |
+
"A",
|
| 1280 |
+
"B",
|
| 1281 |
+
"C",
|
| 1282 |
+
"D"
|
| 1283 |
+
],
|
| 1284 |
+
"description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n",
|
| 1285 |
+
"target_delimiter": " ",
|
| 1286 |
+
"fewshot_delimiter": "\n\n",
|
| 1287 |
+
"fewshot_config": {
|
| 1288 |
+
"sampler": "first_n"
|
| 1289 |
+
},
|
| 1290 |
+
"metric_list": [
|
| 1291 |
+
{
|
| 1292 |
+
"metric": "acc",
|
| 1293 |
+
"aggregation": "mean",
|
| 1294 |
+
"higher_is_better": true
|
| 1295 |
+
}
|
| 1296 |
+
],
|
| 1297 |
+
"output_type": "multiple_choice",
|
| 1298 |
+
"repeats": 1,
|
| 1299 |
+
"should_decontaminate": false,
|
| 1300 |
+
"metadata": {
|
| 1301 |
+
"version": 0.0
|
| 1302 |
+
}
|
| 1303 |
+
},
|
| 1304 |
+
"mmlu_high_school_microeconomics": {
|
| 1305 |
+
"task": "mmlu_high_school_microeconomics",
|
| 1306 |
+
"task_alias": "high_school_microeconomics",
|
| 1307 |
+
"group": "mmlu_social_sciences",
|
| 1308 |
+
"group_alias": "social_sciences",
|
| 1309 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1310 |
+
"dataset_name": "high_school_microeconomics",
|
| 1311 |
+
"test_split": "test",
|
| 1312 |
+
"fewshot_split": "dev",
|
| 1313 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1314 |
+
"doc_to_target": "answer",
|
| 1315 |
+
"doc_to_choice": [
|
| 1316 |
+
"A",
|
| 1317 |
+
"B",
|
| 1318 |
+
"C",
|
| 1319 |
+
"D"
|
| 1320 |
+
],
|
| 1321 |
+
"description": "The following are multiple choice questions (with answers) about high school microeconomics.\n\n",
|
| 1322 |
+
"target_delimiter": " ",
|
| 1323 |
+
"fewshot_delimiter": "\n\n",
|
| 1324 |
+
"fewshot_config": {
|
| 1325 |
+
"sampler": "first_n"
|
| 1326 |
+
},
|
| 1327 |
+
"metric_list": [
|
| 1328 |
+
{
|
| 1329 |
+
"metric": "acc",
|
| 1330 |
+
"aggregation": "mean",
|
| 1331 |
+
"higher_is_better": true
|
| 1332 |
+
}
|
| 1333 |
+
],
|
| 1334 |
+
"output_type": "multiple_choice",
|
| 1335 |
+
"repeats": 1,
|
| 1336 |
+
"should_decontaminate": false,
|
| 1337 |
+
"metadata": {
|
| 1338 |
+
"version": 0.0
|
| 1339 |
+
}
|
| 1340 |
+
},
|
| 1341 |
+
"mmlu_high_school_physics": {
|
| 1342 |
+
"task": "mmlu_high_school_physics",
|
| 1343 |
+
"task_alias": "high_school_physics",
|
| 1344 |
+
"group": "mmlu_stem",
|
| 1345 |
+
"group_alias": "stem",
|
| 1346 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1347 |
+
"dataset_name": "high_school_physics",
|
| 1348 |
+
"test_split": "test",
|
| 1349 |
+
"fewshot_split": "dev",
|
| 1350 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1351 |
+
"doc_to_target": "answer",
|
| 1352 |
+
"doc_to_choice": [
|
| 1353 |
+
"A",
|
| 1354 |
+
"B",
|
| 1355 |
+
"C",
|
| 1356 |
+
"D"
|
| 1357 |
+
],
|
| 1358 |
+
"description": "The following are multiple choice questions (with answers) about high school physics.\n\n",
|
| 1359 |
+
"target_delimiter": " ",
|
| 1360 |
+
"fewshot_delimiter": "\n\n",
|
| 1361 |
+
"fewshot_config": {
|
| 1362 |
+
"sampler": "first_n"
|
| 1363 |
+
},
|
| 1364 |
+
"metric_list": [
|
| 1365 |
+
{
|
| 1366 |
+
"metric": "acc",
|
| 1367 |
+
"aggregation": "mean",
|
| 1368 |
+
"higher_is_better": true
|
| 1369 |
+
}
|
| 1370 |
+
],
|
| 1371 |
+
"output_type": "multiple_choice",
|
| 1372 |
+
"repeats": 1,
|
| 1373 |
+
"should_decontaminate": false,
|
| 1374 |
+
"metadata": {
|
| 1375 |
+
"version": 0.0
|
| 1376 |
+
}
|
| 1377 |
+
},
|
| 1378 |
+
"mmlu_high_school_psychology": {
|
| 1379 |
+
"task": "mmlu_high_school_psychology",
|
| 1380 |
+
"task_alias": "high_school_psychology",
|
| 1381 |
+
"group": "mmlu_social_sciences",
|
| 1382 |
+
"group_alias": "social_sciences",
|
| 1383 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1384 |
+
"dataset_name": "high_school_psychology",
|
| 1385 |
+
"test_split": "test",
|
| 1386 |
+
"fewshot_split": "dev",
|
| 1387 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1388 |
+
"doc_to_target": "answer",
|
| 1389 |
+
"doc_to_choice": [
|
| 1390 |
+
"A",
|
| 1391 |
+
"B",
|
| 1392 |
+
"C",
|
| 1393 |
+
"D"
|
| 1394 |
+
],
|
| 1395 |
+
"description": "The following are multiple choice questions (with answers) about high school psychology.\n\n",
|
| 1396 |
+
"target_delimiter": " ",
|
| 1397 |
+
"fewshot_delimiter": "\n\n",
|
| 1398 |
+
"fewshot_config": {
|
| 1399 |
+
"sampler": "first_n"
|
| 1400 |
+
},
|
| 1401 |
+
"metric_list": [
|
| 1402 |
+
{
|
| 1403 |
+
"metric": "acc",
|
| 1404 |
+
"aggregation": "mean",
|
| 1405 |
+
"higher_is_better": true
|
| 1406 |
+
}
|
| 1407 |
+
],
|
| 1408 |
+
"output_type": "multiple_choice",
|
| 1409 |
+
"repeats": 1,
|
| 1410 |
+
"should_decontaminate": false,
|
| 1411 |
+
"metadata": {
|
| 1412 |
+
"version": 0.0
|
| 1413 |
+
}
|
| 1414 |
+
},
|
| 1415 |
+
"mmlu_high_school_statistics": {
|
| 1416 |
+
"task": "mmlu_high_school_statistics",
|
| 1417 |
+
"task_alias": "high_school_statistics",
|
| 1418 |
+
"group": "mmlu_stem",
|
| 1419 |
+
"group_alias": "stem",
|
| 1420 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1421 |
+
"dataset_name": "high_school_statistics",
|
| 1422 |
+
"test_split": "test",
|
| 1423 |
+
"fewshot_split": "dev",
|
| 1424 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1425 |
+
"doc_to_target": "answer",
|
| 1426 |
+
"doc_to_choice": [
|
| 1427 |
+
"A",
|
| 1428 |
+
"B",
|
| 1429 |
+
"C",
|
| 1430 |
+
"D"
|
| 1431 |
+
],
|
| 1432 |
+
"description": "The following are multiple choice questions (with answers) about high school statistics.\n\n",
|
| 1433 |
+
"target_delimiter": " ",
|
| 1434 |
+
"fewshot_delimiter": "\n\n",
|
| 1435 |
+
"fewshot_config": {
|
| 1436 |
+
"sampler": "first_n"
|
| 1437 |
+
},
|
| 1438 |
+
"metric_list": [
|
| 1439 |
+
{
|
| 1440 |
+
"metric": "acc",
|
| 1441 |
+
"aggregation": "mean",
|
| 1442 |
+
"higher_is_better": true
|
| 1443 |
+
}
|
| 1444 |
+
],
|
| 1445 |
+
"output_type": "multiple_choice",
|
| 1446 |
+
"repeats": 1,
|
| 1447 |
+
"should_decontaminate": false,
|
| 1448 |
+
"metadata": {
|
| 1449 |
+
"version": 0.0
|
| 1450 |
+
}
|
| 1451 |
+
},
|
| 1452 |
+
"mmlu_high_school_us_history": {
|
| 1453 |
+
"task": "mmlu_high_school_us_history",
|
| 1454 |
+
"task_alias": "high_school_us_history",
|
| 1455 |
+
"group": "mmlu_humanities",
|
| 1456 |
+
"group_alias": "humanities",
|
| 1457 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1458 |
+
"dataset_name": "high_school_us_history",
|
| 1459 |
+
"test_split": "test",
|
| 1460 |
+
"fewshot_split": "dev",
|
| 1461 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1462 |
+
"doc_to_target": "answer",
|
| 1463 |
+
"doc_to_choice": [
|
| 1464 |
+
"A",
|
| 1465 |
+
"B",
|
| 1466 |
+
"C",
|
| 1467 |
+
"D"
|
| 1468 |
+
],
|
| 1469 |
+
"description": "The following are multiple choice questions (with answers) about high school us history.\n\n",
|
| 1470 |
+
"target_delimiter": " ",
|
| 1471 |
+
"fewshot_delimiter": "\n\n",
|
| 1472 |
+
"fewshot_config": {
|
| 1473 |
+
"sampler": "first_n"
|
| 1474 |
+
},
|
| 1475 |
+
"metric_list": [
|
| 1476 |
+
{
|
| 1477 |
+
"metric": "acc",
|
| 1478 |
+
"aggregation": "mean",
|
| 1479 |
+
"higher_is_better": true
|
| 1480 |
+
}
|
| 1481 |
+
],
|
| 1482 |
+
"output_type": "multiple_choice",
|
| 1483 |
+
"repeats": 1,
|
| 1484 |
+
"should_decontaminate": false,
|
| 1485 |
+
"metadata": {
|
| 1486 |
+
"version": 0.0
|
| 1487 |
+
}
|
| 1488 |
+
},
|
| 1489 |
+
"mmlu_high_school_world_history": {
|
| 1490 |
+
"task": "mmlu_high_school_world_history",
|
| 1491 |
+
"task_alias": "high_school_world_history",
|
| 1492 |
+
"group": "mmlu_humanities",
|
| 1493 |
+
"group_alias": "humanities",
|
| 1494 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1495 |
+
"dataset_name": "high_school_world_history",
|
| 1496 |
+
"test_split": "test",
|
| 1497 |
+
"fewshot_split": "dev",
|
| 1498 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1499 |
+
"doc_to_target": "answer",
|
| 1500 |
+
"doc_to_choice": [
|
| 1501 |
+
"A",
|
| 1502 |
+
"B",
|
| 1503 |
+
"C",
|
| 1504 |
+
"D"
|
| 1505 |
+
],
|
| 1506 |
+
"description": "The following are multiple choice questions (with answers) about high school world history.\n\n",
|
| 1507 |
+
"target_delimiter": " ",
|
| 1508 |
+
"fewshot_delimiter": "\n\n",
|
| 1509 |
+
"fewshot_config": {
|
| 1510 |
+
"sampler": "first_n"
|
| 1511 |
+
},
|
| 1512 |
+
"metric_list": [
|
| 1513 |
+
{
|
| 1514 |
+
"metric": "acc",
|
| 1515 |
+
"aggregation": "mean",
|
| 1516 |
+
"higher_is_better": true
|
| 1517 |
+
}
|
| 1518 |
+
],
|
| 1519 |
+
"output_type": "multiple_choice",
|
| 1520 |
+
"repeats": 1,
|
| 1521 |
+
"should_decontaminate": false,
|
| 1522 |
+
"metadata": {
|
| 1523 |
+
"version": 0.0
|
| 1524 |
+
}
|
| 1525 |
+
},
|
| 1526 |
+
"mmlu_human_aging": {
|
| 1527 |
+
"task": "mmlu_human_aging",
|
| 1528 |
+
"task_alias": "human_aging",
|
| 1529 |
+
"group": "mmlu_other",
|
| 1530 |
+
"group_alias": "other",
|
| 1531 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1532 |
+
"dataset_name": "human_aging",
|
| 1533 |
+
"test_split": "test",
|
| 1534 |
+
"fewshot_split": "dev",
|
| 1535 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1536 |
+
"doc_to_target": "answer",
|
| 1537 |
+
"doc_to_choice": [
|
| 1538 |
+
"A",
|
| 1539 |
+
"B",
|
| 1540 |
+
"C",
|
| 1541 |
+
"D"
|
| 1542 |
+
],
|
| 1543 |
+
"description": "The following are multiple choice questions (with answers) about human aging.\n\n",
|
| 1544 |
+
"target_delimiter": " ",
|
| 1545 |
+
"fewshot_delimiter": "\n\n",
|
| 1546 |
+
"fewshot_config": {
|
| 1547 |
+
"sampler": "first_n"
|
| 1548 |
+
},
|
| 1549 |
+
"metric_list": [
|
| 1550 |
+
{
|
| 1551 |
+
"metric": "acc",
|
| 1552 |
+
"aggregation": "mean",
|
| 1553 |
+
"higher_is_better": true
|
| 1554 |
+
}
|
| 1555 |
+
],
|
| 1556 |
+
"output_type": "multiple_choice",
|
| 1557 |
+
"repeats": 1,
|
| 1558 |
+
"should_decontaminate": false,
|
| 1559 |
+
"metadata": {
|
| 1560 |
+
"version": 0.0
|
| 1561 |
+
}
|
| 1562 |
+
},
|
| 1563 |
+
"mmlu_human_sexuality": {
|
| 1564 |
+
"task": "mmlu_human_sexuality",
|
| 1565 |
+
"task_alias": "human_sexuality",
|
| 1566 |
+
"group": "mmlu_social_sciences",
|
| 1567 |
+
"group_alias": "social_sciences",
|
| 1568 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1569 |
+
"dataset_name": "human_sexuality",
|
| 1570 |
+
"test_split": "test",
|
| 1571 |
+
"fewshot_split": "dev",
|
| 1572 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1573 |
+
"doc_to_target": "answer",
|
| 1574 |
+
"doc_to_choice": [
|
| 1575 |
+
"A",
|
| 1576 |
+
"B",
|
| 1577 |
+
"C",
|
| 1578 |
+
"D"
|
| 1579 |
+
],
|
| 1580 |
+
"description": "The following are multiple choice questions (with answers) about human sexuality.\n\n",
|
| 1581 |
+
"target_delimiter": " ",
|
| 1582 |
+
"fewshot_delimiter": "\n\n",
|
| 1583 |
+
"fewshot_config": {
|
| 1584 |
+
"sampler": "first_n"
|
| 1585 |
+
},
|
| 1586 |
+
"metric_list": [
|
| 1587 |
+
{
|
| 1588 |
+
"metric": "acc",
|
| 1589 |
+
"aggregation": "mean",
|
| 1590 |
+
"higher_is_better": true
|
| 1591 |
+
}
|
| 1592 |
+
],
|
| 1593 |
+
"output_type": "multiple_choice",
|
| 1594 |
+
"repeats": 1,
|
| 1595 |
+
"should_decontaminate": false,
|
| 1596 |
+
"metadata": {
|
| 1597 |
+
"version": 0.0
|
| 1598 |
+
}
|
| 1599 |
+
},
|
| 1600 |
+
"mmlu_international_law": {
|
| 1601 |
+
"task": "mmlu_international_law",
|
| 1602 |
+
"task_alias": "international_law",
|
| 1603 |
+
"group": "mmlu_humanities",
|
| 1604 |
+
"group_alias": "humanities",
|
| 1605 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1606 |
+
"dataset_name": "international_law",
|
| 1607 |
+
"test_split": "test",
|
| 1608 |
+
"fewshot_split": "dev",
|
| 1609 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1610 |
+
"doc_to_target": "answer",
|
| 1611 |
+
"doc_to_choice": [
|
| 1612 |
+
"A",
|
| 1613 |
+
"B",
|
| 1614 |
+
"C",
|
| 1615 |
+
"D"
|
| 1616 |
+
],
|
| 1617 |
+
"description": "The following are multiple choice questions (with answers) about international law.\n\n",
|
| 1618 |
+
"target_delimiter": " ",
|
| 1619 |
+
"fewshot_delimiter": "\n\n",
|
| 1620 |
+
"fewshot_config": {
|
| 1621 |
+
"sampler": "first_n"
|
| 1622 |
+
},
|
| 1623 |
+
"metric_list": [
|
| 1624 |
+
{
|
| 1625 |
+
"metric": "acc",
|
| 1626 |
+
"aggregation": "mean",
|
| 1627 |
+
"higher_is_better": true
|
| 1628 |
+
}
|
| 1629 |
+
],
|
| 1630 |
+
"output_type": "multiple_choice",
|
| 1631 |
+
"repeats": 1,
|
| 1632 |
+
"should_decontaminate": false,
|
| 1633 |
+
"metadata": {
|
| 1634 |
+
"version": 0.0
|
| 1635 |
+
}
|
| 1636 |
+
},
|
| 1637 |
+
"mmlu_jurisprudence": {
|
| 1638 |
+
"task": "mmlu_jurisprudence",
|
| 1639 |
+
"task_alias": "jurisprudence",
|
| 1640 |
+
"group": "mmlu_humanities",
|
| 1641 |
+
"group_alias": "humanities",
|
| 1642 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1643 |
+
"dataset_name": "jurisprudence",
|
| 1644 |
+
"test_split": "test",
|
| 1645 |
+
"fewshot_split": "dev",
|
| 1646 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1647 |
+
"doc_to_target": "answer",
|
| 1648 |
+
"doc_to_choice": [
|
| 1649 |
+
"A",
|
| 1650 |
+
"B",
|
| 1651 |
+
"C",
|
| 1652 |
+
"D"
|
| 1653 |
+
],
|
| 1654 |
+
"description": "The following are multiple choice questions (with answers) about jurisprudence.\n\n",
|
| 1655 |
+
"target_delimiter": " ",
|
| 1656 |
+
"fewshot_delimiter": "\n\n",
|
| 1657 |
+
"fewshot_config": {
|
| 1658 |
+
"sampler": "first_n"
|
| 1659 |
+
},
|
| 1660 |
+
"metric_list": [
|
| 1661 |
+
{
|
| 1662 |
+
"metric": "acc",
|
| 1663 |
+
"aggregation": "mean",
|
| 1664 |
+
"higher_is_better": true
|
| 1665 |
+
}
|
| 1666 |
+
],
|
| 1667 |
+
"output_type": "multiple_choice",
|
| 1668 |
+
"repeats": 1,
|
| 1669 |
+
"should_decontaminate": false,
|
| 1670 |
+
"metadata": {
|
| 1671 |
+
"version": 0.0
|
| 1672 |
+
}
|
| 1673 |
+
},
|
| 1674 |
+
"mmlu_logical_fallacies": {
|
| 1675 |
+
"task": "mmlu_logical_fallacies",
|
| 1676 |
+
"task_alias": "logical_fallacies",
|
| 1677 |
+
"group": "mmlu_humanities",
|
| 1678 |
+
"group_alias": "humanities",
|
| 1679 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1680 |
+
"dataset_name": "logical_fallacies",
|
| 1681 |
+
"test_split": "test",
|
| 1682 |
+
"fewshot_split": "dev",
|
| 1683 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1684 |
+
"doc_to_target": "answer",
|
| 1685 |
+
"doc_to_choice": [
|
| 1686 |
+
"A",
|
| 1687 |
+
"B",
|
| 1688 |
+
"C",
|
| 1689 |
+
"D"
|
| 1690 |
+
],
|
| 1691 |
+
"description": "The following are multiple choice questions (with answers) about logical fallacies.\n\n",
|
| 1692 |
+
"target_delimiter": " ",
|
| 1693 |
+
"fewshot_delimiter": "\n\n",
|
| 1694 |
+
"fewshot_config": {
|
| 1695 |
+
"sampler": "first_n"
|
| 1696 |
+
},
|
| 1697 |
+
"metric_list": [
|
| 1698 |
+
{
|
| 1699 |
+
"metric": "acc",
|
| 1700 |
+
"aggregation": "mean",
|
| 1701 |
+
"higher_is_better": true
|
| 1702 |
+
}
|
| 1703 |
+
],
|
| 1704 |
+
"output_type": "multiple_choice",
|
| 1705 |
+
"repeats": 1,
|
| 1706 |
+
"should_decontaminate": false,
|
| 1707 |
+
"metadata": {
|
| 1708 |
+
"version": 0.0
|
| 1709 |
+
}
|
| 1710 |
+
},
|
| 1711 |
+
"mmlu_machine_learning": {
|
| 1712 |
+
"task": "mmlu_machine_learning",
|
| 1713 |
+
"task_alias": "machine_learning",
|
| 1714 |
+
"group": "mmlu_stem",
|
| 1715 |
+
"group_alias": "stem",
|
| 1716 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1717 |
+
"dataset_name": "machine_learning",
|
| 1718 |
+
"test_split": "test",
|
| 1719 |
+
"fewshot_split": "dev",
|
| 1720 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1721 |
+
"doc_to_target": "answer",
|
| 1722 |
+
"doc_to_choice": [
|
| 1723 |
+
"A",
|
| 1724 |
+
"B",
|
| 1725 |
+
"C",
|
| 1726 |
+
"D"
|
| 1727 |
+
],
|
| 1728 |
+
"description": "The following are multiple choice questions (with answers) about machine learning.\n\n",
|
| 1729 |
+
"target_delimiter": " ",
|
| 1730 |
+
"fewshot_delimiter": "\n\n",
|
| 1731 |
+
"fewshot_config": {
|
| 1732 |
+
"sampler": "first_n"
|
| 1733 |
+
},
|
| 1734 |
+
"metric_list": [
|
| 1735 |
+
{
|
| 1736 |
+
"metric": "acc",
|
| 1737 |
+
"aggregation": "mean",
|
| 1738 |
+
"higher_is_better": true
|
| 1739 |
+
}
|
| 1740 |
+
],
|
| 1741 |
+
"output_type": "multiple_choice",
|
| 1742 |
+
"repeats": 1,
|
| 1743 |
+
"should_decontaminate": false,
|
| 1744 |
+
"metadata": {
|
| 1745 |
+
"version": 0.0
|
| 1746 |
+
}
|
| 1747 |
+
},
|
| 1748 |
+
"mmlu_management": {
|
| 1749 |
+
"task": "mmlu_management",
|
| 1750 |
+
"task_alias": "management",
|
| 1751 |
+
"group": "mmlu_other",
|
| 1752 |
+
"group_alias": "other",
|
| 1753 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1754 |
+
"dataset_name": "management",
|
| 1755 |
+
"test_split": "test",
|
| 1756 |
+
"fewshot_split": "dev",
|
| 1757 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1758 |
+
"doc_to_target": "answer",
|
| 1759 |
+
"doc_to_choice": [
|
| 1760 |
+
"A",
|
| 1761 |
+
"B",
|
| 1762 |
+
"C",
|
| 1763 |
+
"D"
|
| 1764 |
+
],
|
| 1765 |
+
"description": "The following are multiple choice questions (with answers) about management.\n\n",
|
| 1766 |
+
"target_delimiter": " ",
|
| 1767 |
+
"fewshot_delimiter": "\n\n",
|
| 1768 |
+
"fewshot_config": {
|
| 1769 |
+
"sampler": "first_n"
|
| 1770 |
+
},
|
| 1771 |
+
"metric_list": [
|
| 1772 |
+
{
|
| 1773 |
+
"metric": "acc",
|
| 1774 |
+
"aggregation": "mean",
|
| 1775 |
+
"higher_is_better": true
|
| 1776 |
+
}
|
| 1777 |
+
],
|
| 1778 |
+
"output_type": "multiple_choice",
|
| 1779 |
+
"repeats": 1,
|
| 1780 |
+
"should_decontaminate": false,
|
| 1781 |
+
"metadata": {
|
| 1782 |
+
"version": 0.0
|
| 1783 |
+
}
|
| 1784 |
+
},
|
| 1785 |
+
"mmlu_marketing": {
|
| 1786 |
+
"task": "mmlu_marketing",
|
| 1787 |
+
"task_alias": "marketing",
|
| 1788 |
+
"group": "mmlu_other",
|
| 1789 |
+
"group_alias": "other",
|
| 1790 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1791 |
+
"dataset_name": "marketing",
|
| 1792 |
+
"test_split": "test",
|
| 1793 |
+
"fewshot_split": "dev",
|
| 1794 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1795 |
+
"doc_to_target": "answer",
|
| 1796 |
+
"doc_to_choice": [
|
| 1797 |
+
"A",
|
| 1798 |
+
"B",
|
| 1799 |
+
"C",
|
| 1800 |
+
"D"
|
| 1801 |
+
],
|
| 1802 |
+
"description": "The following are multiple choice questions (with answers) about marketing.\n\n",
|
| 1803 |
+
"target_delimiter": " ",
|
| 1804 |
+
"fewshot_delimiter": "\n\n",
|
| 1805 |
+
"fewshot_config": {
|
| 1806 |
+
"sampler": "first_n"
|
| 1807 |
+
},
|
| 1808 |
+
"metric_list": [
|
| 1809 |
+
{
|
| 1810 |
+
"metric": "acc",
|
| 1811 |
+
"aggregation": "mean",
|
| 1812 |
+
"higher_is_better": true
|
| 1813 |
+
}
|
| 1814 |
+
],
|
| 1815 |
+
"output_type": "multiple_choice",
|
| 1816 |
+
"repeats": 1,
|
| 1817 |
+
"should_decontaminate": false,
|
| 1818 |
+
"metadata": {
|
| 1819 |
+
"version": 0.0
|
| 1820 |
+
}
|
| 1821 |
+
},
|
| 1822 |
+
"mmlu_medical_genetics": {
|
| 1823 |
+
"task": "mmlu_medical_genetics",
|
| 1824 |
+
"task_alias": "medical_genetics",
|
| 1825 |
+
"group": "mmlu_other",
|
| 1826 |
+
"group_alias": "other",
|
| 1827 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1828 |
+
"dataset_name": "medical_genetics",
|
| 1829 |
+
"test_split": "test",
|
| 1830 |
+
"fewshot_split": "dev",
|
| 1831 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1832 |
+
"doc_to_target": "answer",
|
| 1833 |
+
"doc_to_choice": [
|
| 1834 |
+
"A",
|
| 1835 |
+
"B",
|
| 1836 |
+
"C",
|
| 1837 |
+
"D"
|
| 1838 |
+
],
|
| 1839 |
+
"description": "The following are multiple choice questions (with answers) about medical genetics.\n\n",
|
| 1840 |
+
"target_delimiter": " ",
|
| 1841 |
+
"fewshot_delimiter": "\n\n",
|
| 1842 |
+
"fewshot_config": {
|
| 1843 |
+
"sampler": "first_n"
|
| 1844 |
+
},
|
| 1845 |
+
"metric_list": [
|
| 1846 |
+
{
|
| 1847 |
+
"metric": "acc",
|
| 1848 |
+
"aggregation": "mean",
|
| 1849 |
+
"higher_is_better": true
|
| 1850 |
+
}
|
| 1851 |
+
],
|
| 1852 |
+
"output_type": "multiple_choice",
|
| 1853 |
+
"repeats": 1,
|
| 1854 |
+
"should_decontaminate": false,
|
| 1855 |
+
"metadata": {
|
| 1856 |
+
"version": 0.0
|
| 1857 |
+
}
|
| 1858 |
+
},
|
| 1859 |
+
"mmlu_miscellaneous": {
|
| 1860 |
+
"task": "mmlu_miscellaneous",
|
| 1861 |
+
"task_alias": "miscellaneous",
|
| 1862 |
+
"group": "mmlu_other",
|
| 1863 |
+
"group_alias": "other",
|
| 1864 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1865 |
+
"dataset_name": "miscellaneous",
|
| 1866 |
+
"test_split": "test",
|
| 1867 |
+
"fewshot_split": "dev",
|
| 1868 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1869 |
+
"doc_to_target": "answer",
|
| 1870 |
+
"doc_to_choice": [
|
| 1871 |
+
"A",
|
| 1872 |
+
"B",
|
| 1873 |
+
"C",
|
| 1874 |
+
"D"
|
| 1875 |
+
],
|
| 1876 |
+
"description": "The following are multiple choice questions (with answers) about miscellaneous.\n\n",
|
| 1877 |
+
"target_delimiter": " ",
|
| 1878 |
+
"fewshot_delimiter": "\n\n",
|
| 1879 |
+
"fewshot_config": {
|
| 1880 |
+
"sampler": "first_n"
|
| 1881 |
+
},
|
| 1882 |
+
"metric_list": [
|
| 1883 |
+
{
|
| 1884 |
+
"metric": "acc",
|
| 1885 |
+
"aggregation": "mean",
|
| 1886 |
+
"higher_is_better": true
|
| 1887 |
+
}
|
| 1888 |
+
],
|
| 1889 |
+
"output_type": "multiple_choice",
|
| 1890 |
+
"repeats": 1,
|
| 1891 |
+
"should_decontaminate": false,
|
| 1892 |
+
"metadata": {
|
| 1893 |
+
"version": 0.0
|
| 1894 |
+
}
|
| 1895 |
+
},
|
| 1896 |
+
"mmlu_moral_disputes": {
|
| 1897 |
+
"task": "mmlu_moral_disputes",
|
| 1898 |
+
"task_alias": "moral_disputes",
|
| 1899 |
+
"group": "mmlu_humanities",
|
| 1900 |
+
"group_alias": "humanities",
|
| 1901 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1902 |
+
"dataset_name": "moral_disputes",
|
| 1903 |
+
"test_split": "test",
|
| 1904 |
+
"fewshot_split": "dev",
|
| 1905 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1906 |
+
"doc_to_target": "answer",
|
| 1907 |
+
"doc_to_choice": [
|
| 1908 |
+
"A",
|
| 1909 |
+
"B",
|
| 1910 |
+
"C",
|
| 1911 |
+
"D"
|
| 1912 |
+
],
|
| 1913 |
+
"description": "The following are multiple choice questions (with answers) about moral disputes.\n\n",
|
| 1914 |
+
"target_delimiter": " ",
|
| 1915 |
+
"fewshot_delimiter": "\n\n",
|
| 1916 |
+
"fewshot_config": {
|
| 1917 |
+
"sampler": "first_n"
|
| 1918 |
+
},
|
| 1919 |
+
"metric_list": [
|
| 1920 |
+
{
|
| 1921 |
+
"metric": "acc",
|
| 1922 |
+
"aggregation": "mean",
|
| 1923 |
+
"higher_is_better": true
|
| 1924 |
+
}
|
| 1925 |
+
],
|
| 1926 |
+
"output_type": "multiple_choice",
|
| 1927 |
+
"repeats": 1,
|
| 1928 |
+
"should_decontaminate": false,
|
| 1929 |
+
"metadata": {
|
| 1930 |
+
"version": 0.0
|
| 1931 |
+
}
|
| 1932 |
+
},
|
| 1933 |
+
"mmlu_moral_scenarios": {
|
| 1934 |
+
"task": "mmlu_moral_scenarios",
|
| 1935 |
+
"task_alias": "moral_scenarios",
|
| 1936 |
+
"group": "mmlu_humanities",
|
| 1937 |
+
"group_alias": "humanities",
|
| 1938 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1939 |
+
"dataset_name": "moral_scenarios",
|
| 1940 |
+
"test_split": "test",
|
| 1941 |
+
"fewshot_split": "dev",
|
| 1942 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1943 |
+
"doc_to_target": "answer",
|
| 1944 |
+
"doc_to_choice": [
|
| 1945 |
+
"A",
|
| 1946 |
+
"B",
|
| 1947 |
+
"C",
|
| 1948 |
+
"D"
|
| 1949 |
+
],
|
| 1950 |
+
"description": "The following are multiple choice questions (with answers) about moral scenarios.\n\n",
|
| 1951 |
+
"target_delimiter": " ",
|
| 1952 |
+
"fewshot_delimiter": "\n\n",
|
| 1953 |
+
"fewshot_config": {
|
| 1954 |
+
"sampler": "first_n"
|
| 1955 |
+
},
|
| 1956 |
+
"metric_list": [
|
| 1957 |
+
{
|
| 1958 |
+
"metric": "acc",
|
| 1959 |
+
"aggregation": "mean",
|
| 1960 |
+
"higher_is_better": true
|
| 1961 |
+
}
|
| 1962 |
+
],
|
| 1963 |
+
"output_type": "multiple_choice",
|
| 1964 |
+
"repeats": 1,
|
| 1965 |
+
"should_decontaminate": false,
|
| 1966 |
+
"metadata": {
|
| 1967 |
+
"version": 0.0
|
| 1968 |
+
}
|
| 1969 |
+
},
|
| 1970 |
+
"mmlu_nutrition": {
|
| 1971 |
+
"task": "mmlu_nutrition",
|
| 1972 |
+
"task_alias": "nutrition",
|
| 1973 |
+
"group": "mmlu_other",
|
| 1974 |
+
"group_alias": "other",
|
| 1975 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 1976 |
+
"dataset_name": "nutrition",
|
| 1977 |
+
"test_split": "test",
|
| 1978 |
+
"fewshot_split": "dev",
|
| 1979 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 1980 |
+
"doc_to_target": "answer",
|
| 1981 |
+
"doc_to_choice": [
|
| 1982 |
+
"A",
|
| 1983 |
+
"B",
|
| 1984 |
+
"C",
|
| 1985 |
+
"D"
|
| 1986 |
+
],
|
| 1987 |
+
"description": "The following are multiple choice questions (with answers) about nutrition.\n\n",
|
| 1988 |
+
"target_delimiter": " ",
|
| 1989 |
+
"fewshot_delimiter": "\n\n",
|
| 1990 |
+
"fewshot_config": {
|
| 1991 |
+
"sampler": "first_n"
|
| 1992 |
+
},
|
| 1993 |
+
"metric_list": [
|
| 1994 |
+
{
|
| 1995 |
+
"metric": "acc",
|
| 1996 |
+
"aggregation": "mean",
|
| 1997 |
+
"higher_is_better": true
|
| 1998 |
+
}
|
| 1999 |
+
],
|
| 2000 |
+
"output_type": "multiple_choice",
|
| 2001 |
+
"repeats": 1,
|
| 2002 |
+
"should_decontaminate": false,
|
| 2003 |
+
"metadata": {
|
| 2004 |
+
"version": 0.0
|
| 2005 |
+
}
|
| 2006 |
+
},
|
| 2007 |
+
"mmlu_philosophy": {
|
| 2008 |
+
"task": "mmlu_philosophy",
|
| 2009 |
+
"task_alias": "philosophy",
|
| 2010 |
+
"group": "mmlu_humanities",
|
| 2011 |
+
"group_alias": "humanities",
|
| 2012 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 2013 |
+
"dataset_name": "philosophy",
|
| 2014 |
+
"test_split": "test",
|
| 2015 |
+
"fewshot_split": "dev",
|
| 2016 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2017 |
+
"doc_to_target": "answer",
|
| 2018 |
+
"doc_to_choice": [
|
| 2019 |
+
"A",
|
| 2020 |
+
"B",
|
| 2021 |
+
"C",
|
| 2022 |
+
"D"
|
| 2023 |
+
],
|
| 2024 |
+
"description": "The following are multiple choice questions (with answers) about philosophy.\n\n",
|
| 2025 |
+
"target_delimiter": " ",
|
| 2026 |
+
"fewshot_delimiter": "\n\n",
|
| 2027 |
+
"fewshot_config": {
|
| 2028 |
+
"sampler": "first_n"
|
| 2029 |
+
},
|
| 2030 |
+
"metric_list": [
|
| 2031 |
+
{
|
| 2032 |
+
"metric": "acc",
|
| 2033 |
+
"aggregation": "mean",
|
| 2034 |
+
"higher_is_better": true
|
| 2035 |
+
}
|
| 2036 |
+
],
|
| 2037 |
+
"output_type": "multiple_choice",
|
| 2038 |
+
"repeats": 1,
|
| 2039 |
+
"should_decontaminate": false,
|
| 2040 |
+
"metadata": {
|
| 2041 |
+
"version": 0.0
|
| 2042 |
+
}
|
| 2043 |
+
},
|
| 2044 |
+
"mmlu_prehistory": {
|
| 2045 |
+
"task": "mmlu_prehistory",
|
| 2046 |
+
"task_alias": "prehistory",
|
| 2047 |
+
"group": "mmlu_humanities",
|
| 2048 |
+
"group_alias": "humanities",
|
| 2049 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 2050 |
+
"dataset_name": "prehistory",
|
| 2051 |
+
"test_split": "test",
|
| 2052 |
+
"fewshot_split": "dev",
|
| 2053 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2054 |
+
"doc_to_target": "answer",
|
| 2055 |
+
"doc_to_choice": [
|
| 2056 |
+
"A",
|
| 2057 |
+
"B",
|
| 2058 |
+
"C",
|
| 2059 |
+
"D"
|
| 2060 |
+
],
|
| 2061 |
+
"description": "The following are multiple choice questions (with answers) about prehistory.\n\n",
|
| 2062 |
+
"target_delimiter": " ",
|
| 2063 |
+
"fewshot_delimiter": "\n\n",
|
| 2064 |
+
"fewshot_config": {
|
| 2065 |
+
"sampler": "first_n"
|
| 2066 |
+
},
|
| 2067 |
+
"metric_list": [
|
| 2068 |
+
{
|
| 2069 |
+
"metric": "acc",
|
| 2070 |
+
"aggregation": "mean",
|
| 2071 |
+
"higher_is_better": true
|
| 2072 |
+
}
|
| 2073 |
+
],
|
| 2074 |
+
"output_type": "multiple_choice",
|
| 2075 |
+
"repeats": 1,
|
| 2076 |
+
"should_decontaminate": false,
|
| 2077 |
+
"metadata": {
|
| 2078 |
+
"version": 0.0
|
| 2079 |
+
}
|
| 2080 |
+
},
|
| 2081 |
+
"mmlu_professional_accounting": {
|
| 2082 |
+
"task": "mmlu_professional_accounting",
|
| 2083 |
+
"task_alias": "professional_accounting",
|
| 2084 |
+
"group": "mmlu_other",
|
| 2085 |
+
"group_alias": "other",
|
| 2086 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 2087 |
+
"dataset_name": "professional_accounting",
|
| 2088 |
+
"test_split": "test",
|
| 2089 |
+
"fewshot_split": "dev",
|
| 2090 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2091 |
+
"doc_to_target": "answer",
|
| 2092 |
+
"doc_to_choice": [
|
| 2093 |
+
"A",
|
| 2094 |
+
"B",
|
| 2095 |
+
"C",
|
| 2096 |
+
"D"
|
| 2097 |
+
],
|
| 2098 |
+
"description": "The following are multiple choice questions (with answers) about professional accounting.\n\n",
|
| 2099 |
+
"target_delimiter": " ",
|
| 2100 |
+
"fewshot_delimiter": "\n\n",
|
| 2101 |
+
"fewshot_config": {
|
| 2102 |
+
"sampler": "first_n"
|
| 2103 |
+
},
|
| 2104 |
+
"metric_list": [
|
| 2105 |
+
{
|
| 2106 |
+
"metric": "acc",
|
| 2107 |
+
"aggregation": "mean",
|
| 2108 |
+
"higher_is_better": true
|
| 2109 |
+
}
|
| 2110 |
+
],
|
| 2111 |
+
"output_type": "multiple_choice",
|
| 2112 |
+
"repeats": 1,
|
| 2113 |
+
"should_decontaminate": false,
|
| 2114 |
+
"metadata": {
|
| 2115 |
+
"version": 0.0
|
| 2116 |
+
}
|
| 2117 |
+
},
|
| 2118 |
+
"mmlu_professional_law": {
|
| 2119 |
+
"task": "mmlu_professional_law",
|
| 2120 |
+
"task_alias": "professional_law",
|
| 2121 |
+
"group": "mmlu_humanities",
|
| 2122 |
+
"group_alias": "humanities",
|
| 2123 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 2124 |
+
"dataset_name": "professional_law",
|
| 2125 |
+
"test_split": "test",
|
| 2126 |
+
"fewshot_split": "dev",
|
| 2127 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2128 |
+
"doc_to_target": "answer",
|
| 2129 |
+
"doc_to_choice": [
|
| 2130 |
+
"A",
|
| 2131 |
+
"B",
|
| 2132 |
+
"C",
|
| 2133 |
+
"D"
|
| 2134 |
+
],
|
| 2135 |
+
"description": "The following are multiple choice questions (with answers) about professional law.\n\n",
|
| 2136 |
+
"target_delimiter": " ",
|
| 2137 |
+
"fewshot_delimiter": "\n\n",
|
| 2138 |
+
"fewshot_config": {
|
| 2139 |
+
"sampler": "first_n"
|
| 2140 |
+
},
|
| 2141 |
+
"metric_list": [
|
| 2142 |
+
{
|
| 2143 |
+
"metric": "acc",
|
| 2144 |
+
"aggregation": "mean",
|
| 2145 |
+
"higher_is_better": true
|
| 2146 |
+
}
|
| 2147 |
+
],
|
| 2148 |
+
"output_type": "multiple_choice",
|
| 2149 |
+
"repeats": 1,
|
| 2150 |
+
"should_decontaminate": false,
|
| 2151 |
+
"metadata": {
|
| 2152 |
+
"version": 0.0
|
| 2153 |
+
}
|
| 2154 |
+
},
|
| 2155 |
+
"mmlu_professional_medicine": {
|
| 2156 |
+
"task": "mmlu_professional_medicine",
|
| 2157 |
+
"task_alias": "professional_medicine",
|
| 2158 |
+
"group": "mmlu_other",
|
| 2159 |
+
"group_alias": "other",
|
| 2160 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 2161 |
+
"dataset_name": "professional_medicine",
|
| 2162 |
+
"test_split": "test",
|
| 2163 |
+
"fewshot_split": "dev",
|
| 2164 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2165 |
+
"doc_to_target": "answer",
|
| 2166 |
+
"doc_to_choice": [
|
| 2167 |
+
"A",
|
| 2168 |
+
"B",
|
| 2169 |
+
"C",
|
| 2170 |
+
"D"
|
| 2171 |
+
],
|
| 2172 |
+
"description": "The following are multiple choice questions (with answers) about professional medicine.\n\n",
|
| 2173 |
+
"target_delimiter": " ",
|
| 2174 |
+
"fewshot_delimiter": "\n\n",
|
| 2175 |
+
"fewshot_config": {
|
| 2176 |
+
"sampler": "first_n"
|
| 2177 |
+
},
|
| 2178 |
+
"metric_list": [
|
| 2179 |
+
{
|
| 2180 |
+
"metric": "acc",
|
| 2181 |
+
"aggregation": "mean",
|
| 2182 |
+
"higher_is_better": true
|
| 2183 |
+
}
|
| 2184 |
+
],
|
| 2185 |
+
"output_type": "multiple_choice",
|
| 2186 |
+
"repeats": 1,
|
| 2187 |
+
"should_decontaminate": false,
|
| 2188 |
+
"metadata": {
|
| 2189 |
+
"version": 0.0
|
| 2190 |
+
}
|
| 2191 |
+
},
|
| 2192 |
+
"mmlu_professional_psychology": {
|
| 2193 |
+
"task": "mmlu_professional_psychology",
|
| 2194 |
+
"task_alias": "professional_psychology",
|
| 2195 |
+
"group": "mmlu_social_sciences",
|
| 2196 |
+
"group_alias": "social_sciences",
|
| 2197 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 2198 |
+
"dataset_name": "professional_psychology",
|
| 2199 |
+
"test_split": "test",
|
| 2200 |
+
"fewshot_split": "dev",
|
| 2201 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2202 |
+
"doc_to_target": "answer",
|
| 2203 |
+
"doc_to_choice": [
|
| 2204 |
+
"A",
|
| 2205 |
+
"B",
|
| 2206 |
+
"C",
|
| 2207 |
+
"D"
|
| 2208 |
+
],
|
| 2209 |
+
"description": "The following are multiple choice questions (with answers) about professional psychology.\n\n",
|
| 2210 |
+
"target_delimiter": " ",
|
| 2211 |
+
"fewshot_delimiter": "\n\n",
|
| 2212 |
+
"fewshot_config": {
|
| 2213 |
+
"sampler": "first_n"
|
| 2214 |
+
},
|
| 2215 |
+
"metric_list": [
|
| 2216 |
+
{
|
| 2217 |
+
"metric": "acc",
|
| 2218 |
+
"aggregation": "mean",
|
| 2219 |
+
"higher_is_better": true
|
| 2220 |
+
}
|
| 2221 |
+
],
|
| 2222 |
+
"output_type": "multiple_choice",
|
| 2223 |
+
"repeats": 1,
|
| 2224 |
+
"should_decontaminate": false,
|
| 2225 |
+
"metadata": {
|
| 2226 |
+
"version": 0.0
|
| 2227 |
+
}
|
| 2228 |
+
},
|
| 2229 |
+
"mmlu_public_relations": {
|
| 2230 |
+
"task": "mmlu_public_relations",
|
| 2231 |
+
"task_alias": "public_relations",
|
| 2232 |
+
"group": "mmlu_social_sciences",
|
| 2233 |
+
"group_alias": "social_sciences",
|
| 2234 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 2235 |
+
"dataset_name": "public_relations",
|
| 2236 |
+
"test_split": "test",
|
| 2237 |
+
"fewshot_split": "dev",
|
| 2238 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2239 |
+
"doc_to_target": "answer",
|
| 2240 |
+
"doc_to_choice": [
|
| 2241 |
+
"A",
|
| 2242 |
+
"B",
|
| 2243 |
+
"C",
|
| 2244 |
+
"D"
|
| 2245 |
+
],
|
| 2246 |
+
"description": "The following are multiple choice questions (with answers) about public relations.\n\n",
|
| 2247 |
+
"target_delimiter": " ",
|
| 2248 |
+
"fewshot_delimiter": "\n\n",
|
| 2249 |
+
"fewshot_config": {
|
| 2250 |
+
"sampler": "first_n"
|
| 2251 |
+
},
|
| 2252 |
+
"metric_list": [
|
| 2253 |
+
{
|
| 2254 |
+
"metric": "acc",
|
| 2255 |
+
"aggregation": "mean",
|
| 2256 |
+
"higher_is_better": true
|
| 2257 |
+
}
|
| 2258 |
+
],
|
| 2259 |
+
"output_type": "multiple_choice",
|
| 2260 |
+
"repeats": 1,
|
| 2261 |
+
"should_decontaminate": false,
|
| 2262 |
+
"metadata": {
|
| 2263 |
+
"version": 0.0
|
| 2264 |
+
}
|
| 2265 |
+
},
|
| 2266 |
+
"mmlu_security_studies": {
|
| 2267 |
+
"task": "mmlu_security_studies",
|
| 2268 |
+
"task_alias": "security_studies",
|
| 2269 |
+
"group": "mmlu_social_sciences",
|
| 2270 |
+
"group_alias": "social_sciences",
|
| 2271 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 2272 |
+
"dataset_name": "security_studies",
|
| 2273 |
+
"test_split": "test",
|
| 2274 |
+
"fewshot_split": "dev",
|
| 2275 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2276 |
+
"doc_to_target": "answer",
|
| 2277 |
+
"doc_to_choice": [
|
| 2278 |
+
"A",
|
| 2279 |
+
"B",
|
| 2280 |
+
"C",
|
| 2281 |
+
"D"
|
| 2282 |
+
],
|
| 2283 |
+
"description": "The following are multiple choice questions (with answers) about security studies.\n\n",
|
| 2284 |
+
"target_delimiter": " ",
|
| 2285 |
+
"fewshot_delimiter": "\n\n",
|
| 2286 |
+
"fewshot_config": {
|
| 2287 |
+
"sampler": "first_n"
|
| 2288 |
+
},
|
| 2289 |
+
"metric_list": [
|
| 2290 |
+
{
|
| 2291 |
+
"metric": "acc",
|
| 2292 |
+
"aggregation": "mean",
|
| 2293 |
+
"higher_is_better": true
|
| 2294 |
+
}
|
| 2295 |
+
],
|
| 2296 |
+
"output_type": "multiple_choice",
|
| 2297 |
+
"repeats": 1,
|
| 2298 |
+
"should_decontaminate": false,
|
| 2299 |
+
"metadata": {
|
| 2300 |
+
"version": 0.0
|
| 2301 |
+
}
|
| 2302 |
+
},
|
| 2303 |
+
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|
| 2304 |
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"task": "mmlu_sociology",
|
| 2305 |
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"group": "mmlu_social_sciences",
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| 2308 |
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"dataset_path": "hails/mmlu_no_train",
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| 2309 |
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"dataset_name": "sociology",
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| 2310 |
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"test_split": "test",
|
| 2311 |
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"fewshot_split": "dev",
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| 2312 |
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"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
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"B",
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| 2317 |
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"C",
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| 2318 |
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"D"
|
| 2319 |
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],
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| 2320 |
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"description": "The following are multiple choice questions (with answers) about sociology.\n\n",
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| 2321 |
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"fewshot_delimiter": "\n\n",
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{
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| 2336 |
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| 2337 |
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"version": 0.0
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}
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| 2339 |
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},
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"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2350 |
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"doc_to_target": "answer",
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| 2352 |
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"A",
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| 2353 |
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"B",
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| 2354 |
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"C",
|
| 2355 |
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"D"
|
| 2356 |
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],
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| 2357 |
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"description": "The following are multiple choice questions (with answers) about us foreign policy.\n\n",
|
| 2358 |
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| 2359 |
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"fewshot_delimiter": "\n\n",
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{
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| 2365 |
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"metric": "acc",
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"higher_is_better": true
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| 2373 |
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| 2374 |
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"version": 0.0
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| 2375 |
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}
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| 2376 |
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},
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| 2377 |
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"mmlu_virology": {
|
| 2378 |
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"task": "mmlu_virology",
|
| 2379 |
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"task_alias": "virology",
|
| 2380 |
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"group": "mmlu_other",
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| 2381 |
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"group_alias": "other",
|
| 2382 |
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"dataset_path": "hails/mmlu_no_train",
|
| 2383 |
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"dataset_name": "virology",
|
| 2384 |
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"test_split": "test",
|
| 2385 |
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"fewshot_split": "dev",
|
| 2386 |
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"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 2387 |
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"doc_to_target": "answer",
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| 2388 |
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"doc_to_choice": [
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"A",
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| 2390 |
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"B",
|
| 2391 |
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"C",
|
| 2392 |
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"D"
|
| 2393 |
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],
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| 2394 |
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"description": "The following are multiple choice questions (with answers) about virology.\n\n",
|
| 2395 |
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"target_delimiter": " ",
|
| 2396 |
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"fewshot_delimiter": "\n\n",
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"sampler": "first_n"
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| 2399 |
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},
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{
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| 2402 |
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"metric": "acc",
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"aggregation": "mean",
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| 2404 |
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"higher_is_better": true
|
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| 2406 |
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| 2410 |
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"metadata": {
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| 2411 |
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"version": 0.0
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| 2412 |
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}
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| 2413 |
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},
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"mmlu_world_religions": {
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| 2416 |
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"task_alias": "world_religions",
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"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
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"A",
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"B",
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| 2428 |
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"C",
|
| 2429 |
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"D"
|
| 2430 |
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],
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| 2431 |
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"description": "The following are multiple choice questions (with answers) about world religions.\n\n",
|
| 2432 |
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|
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"fewshot_delimiter": "\n\n",
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{
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"version": 0.0
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| 2450 |
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}
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"versions": {
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},
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"mmlu_virology": 0,
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},
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"config": {
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| 2581 |
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"model": "hf",
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"model_args": "pretrained=m8than/Finch-14B-Continued-10,dtype=bfloat16,trust_remote_code=True",
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],
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