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d6d128e
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Parent(s):
6aa6f83
bloom results
Browse files- lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +252 -0
- lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/bloom-7b1/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/bloom-7b1/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +283 -0
- lm-eval-output/bloom-7b1/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/bloom-7b1/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/bloom-7b1/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +390 -0
- lm-eval-output/bloom-7b1/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/bloom-7b1/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/bloom-7b1/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +548 -0
- lm-eval-output/bloom-7b1/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/bloom-7b1/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/bloom-7b1/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +423 -0
- lm-eval-output/bloom-7b1/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/bloom-7b1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/bloom-7b1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +248 -0
- lm-eval-output/bloom-7b1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:319c68639bb05b6b985fcda887079637990b8c047b287314efc58672da605b83
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size 5205695
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lm-eval-output/bloom-7b1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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| 1 |
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{
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"results": {
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| 3 |
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"lambada_multilingual": {
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| 4 |
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"perplexity,none": 131.45396740665825,
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"perplexity_stderr,none": 95.28024178884175,
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"acc,none": 0.38490199883562976,
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"acc_stderr,none": 0.07608898792977997,
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| 8 |
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"alias": "lambada_multilingual"
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| 9 |
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},
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"lambada_openai_mt_de": {
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"perplexity,none": 370.91952810475857,
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"perplexity_stderr,none": 24.98299339282566,
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"acc,none": 0.23015718998641568,
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"acc_stderr,none": 0.0058644241714399855,
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"alias": " - lambada_openai_mt_de"
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| 16 |
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},
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"lambada_openai_mt_en": {
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"perplexity,none": 6.583236525584539,
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"acc,none": 0.5717058024451775,
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"acc_stderr,none": 0.0068939712541951454,
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"alias": " - lambada_openai_mt_en"
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},
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"lambada_openai_mt_es": {
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"perplexity,none": 51.02874715706533,
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"acc,none": 0.36638851154667185,
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"alias": " - lambada_openai_mt_es"
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},
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"lambada_openai_mt_fr": {
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"acc_stderr,none": 0.0069329758883686235,
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"alias": " - lambada_openai_mt_fr"
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},
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"lambada_openai_mt_it": {
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"perplexity,none": 199.1761460704524,
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"acc,none": 0.30487094896176986,
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"alias": " - lambada_openai_mt_it"
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}
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},
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"groups": {
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"lambada_multilingual": {
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"alias": "lambada_multilingual"
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}
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},
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"configs": {
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"task": "lambada_openai_mt_de",
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"lambada_multilingual"
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|
| 1 |
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{
|
| 2 |
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"results": {
|
| 3 |
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"xcopa": {
|
| 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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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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"alias": " - xcopa_ht"
|
| 17 |
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},
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 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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|
| 30 |
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|
| 31 |
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"alias": " - xcopa_qu"
|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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"alias": " - xcopa_sw"
|
| 37 |
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},
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"alias": " - xcopa_ta"
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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"alias": " - xcopa_th"
|
| 47 |
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},
|
| 48 |
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|
| 49 |
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"acc,none": 0.512,
|
| 50 |
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|
| 51 |
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"alias": " - xcopa_tr"
|
| 52 |
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},
|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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"alias": " - xcopa_vi"
|
| 57 |
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},
|
| 58 |
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"xcopa_zh": {
|
| 59 |
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"acc,none": 0.65,
|
| 60 |
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|
| 61 |
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"alias": " - xcopa_zh"
|
| 62 |
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}
|
| 63 |
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},
|
| 64 |
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"groups": {
|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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"alias": "xcopa"
|
| 69 |
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}
|
| 70 |
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},
|
| 71 |
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"configs": {
|
| 72 |
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"xcopa_et": {
|
| 73 |
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"task": "xcopa_et",
|
| 74 |
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"group": "xcopa",
|
| 75 |
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"dataset_path": "xcopa",
|
| 76 |
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"dataset_name": "et",
|
| 77 |
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|
| 78 |
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|
| 79 |
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7fb9a8057c40>, connector={'cause': 'sest', 'effect': 'seetõttu'})",
|
| 80 |
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"doc_to_target": "label",
|
| 81 |
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
| 82 |
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"description": "",
|
| 83 |
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|
| 84 |
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"fewshot_delimiter": "\n\n",
|
| 85 |
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"metric_list": [
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
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|
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|
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|
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|
| 95 |
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|
| 96 |
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|
| 97 |
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"xcopa_ht": {
|
| 98 |
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"task": "xcopa_ht",
|
| 99 |
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"group": "xcopa",
|
| 100 |
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"dataset_path": "xcopa",
|
| 101 |
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"dataset_name": "ht",
|
| 102 |
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|
| 103 |
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|
| 104 |
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7fb985be2fc0>, connector={'cause': 'poukisa', 'effect': 'donk sa'})",
|
| 105 |
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"doc_to_target": "label",
|
| 106 |
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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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|
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|
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|
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|
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|
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|
| 180 |
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|
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|
| 182 |
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|
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
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|
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|
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
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|
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
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|
| 205 |
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|
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|
| 207 |
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|
| 208 |
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|
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
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|
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|
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|
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|
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
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|
| 229 |
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|
| 230 |
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|
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| 232 |
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|
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|
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|
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|
| 250 |
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|
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|
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|
| 255 |
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|
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|
| 257 |
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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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|
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|
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|
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|
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|
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|
| 350 |
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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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|
| 361 |
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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 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"xnli": {
|
| 4 |
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"acc,none": 0.41204819277108434,
|
| 5 |
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"acc_stderr,none": 0.051535476594892576,
|
| 6 |
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"alias": "xnli"
|
| 7 |
+
},
|
| 8 |
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"xnli_ar": {
|
| 9 |
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|
| 10 |
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"acc_stderr,none": 0.009479742273956477,
|
| 11 |
+
"alias": " - xnli_ar"
|
| 12 |
+
},
|
| 13 |
+
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|
| 14 |
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|
| 15 |
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"acc_stderr,none": 0.009718712281227459,
|
| 16 |
+
"alias": " - xnli_bg"
|
| 17 |
+
},
|
| 18 |
+
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|
| 19 |
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|
| 20 |
+
"acc_stderr,none": 0.009871502159099368,
|
| 21 |
+
"alias": " - xnli_de"
|
| 22 |
+
},
|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
+
"alias": " - xnli_el"
|
| 27 |
+
},
|
| 28 |
+
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|
| 29 |
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|
| 30 |
+
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|
| 31 |
+
"alias": " - xnli_en"
|
| 32 |
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},
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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"alias": " - xnli_es"
|
| 37 |
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},
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"alias": " - xnli_fr"
|
| 42 |
+
},
|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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| 51 |
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"alias": " - xnli_ru"
|
| 52 |
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},
|
| 53 |
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|
| 54 |
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|
| 55 |
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| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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| 61 |
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|
| 62 |
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},
|
| 63 |
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|
| 64 |
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|
| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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| 70 |
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| 71 |
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"alias": " - xnli_ur"
|
| 72 |
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},
|
| 73 |
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|
| 74 |
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| 75 |
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| 76 |
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"alias": " - xnli_vi"
|
| 77 |
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},
|
| 78 |
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|
| 79 |
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|
| 80 |
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| 81 |
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"alias": " - xnli_zh"
|
| 82 |
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}
|
| 83 |
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},
|
| 84 |
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"groups": {
|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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"alias": "xnli"
|
| 89 |
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}
|
| 90 |
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},
|
| 91 |
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"configs": {
|
| 92 |
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|
| 93 |
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"task": "xnli_ar",
|
| 94 |
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"group": "xnli",
|
| 95 |
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"dataset_path": "xnli",
|
| 96 |
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|
| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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"doc_to_choice": "{{[premise+\", صحيح? نعم, \"+hypothesis,premise+\", صحيح? لذا, \"+hypothesis,premise+\", صحيح? رقم, \"+hypothesis]}}",
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| 102 |
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"description": "",
|
| 103 |
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"target_delimiter": " ",
|
| 104 |
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"fewshot_delimiter": "\n\n",
|
| 105 |
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"metric_list": [
|
| 106 |
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{
|
| 107 |
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"metric": "acc",
|
| 108 |
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"aggregation": "mean",
|
| 109 |
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"higher_is_better": true
|
| 110 |
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}
|
| 111 |
+
],
|
| 112 |
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"output_type": "multiple_choice",
|
| 113 |
+
"repeats": 1,
|
| 114 |
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"should_decontaminate": false,
|
| 115 |
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"metadata": {
|
| 116 |
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"version": 1.0
|
| 117 |
+
}
|
| 118 |
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},
|
| 119 |
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"xnli_bg": {
|
| 120 |
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"task": "xnli_bg",
|
| 121 |
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"group": "xnli",
|
| 122 |
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"dataset_path": "xnli",
|
| 123 |
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"dataset_name": "bg",
|
| 124 |
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"training_split": "train",
|
| 125 |
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"validation_split": "validation",
|
| 126 |
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"doc_to_text": "",
|
| 127 |
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"doc_to_target": "label",
|
| 128 |
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"doc_to_choice": "{{[premise+\", правилно? да, \"+hypothesis,premise+\", правилно? така, \"+hypothesis,premise+\", правилно? не, \"+hypothesis]}}",
|
| 129 |
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"description": "",
|
| 130 |
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"target_delimiter": " ",
|
| 131 |
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"fewshot_delimiter": "\n\n",
|
| 132 |
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"metric_list": [
|
| 133 |
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{
|
| 134 |
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"metric": "acc",
|
| 135 |
+
"aggregation": "mean",
|
| 136 |
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"higher_is_better": true
|
| 137 |
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|
| 138 |
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],
|
| 139 |
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|
| 140 |
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| 141 |
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|
| 142 |
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| 143 |
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|
| 144 |
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|
| 145 |
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},
|
| 146 |
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| 147 |
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"task": "xnli_de",
|
| 148 |
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"group": "xnli",
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| 149 |
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"dataset_path": "xnli",
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| 150 |
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"dataset_name": "de",
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| 151 |
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| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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"doc_to_choice": "{{[premise+\", richtig? Ja, \"+hypothesis,premise+\", richtig? Auch, \"+hypothesis,premise+\", richtig? Nein, \"+hypothesis]}}",
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| 156 |
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"description": "",
|
| 157 |
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|
| 158 |
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|
| 159 |
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"metric_list": [
|
| 160 |
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{
|
| 161 |
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"metric": "acc",
|
| 162 |
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"aggregation": "mean",
|
| 163 |
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"higher_is_better": true
|
| 164 |
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}
|
| 165 |
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],
|
| 166 |
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"output_type": "multiple_choice",
|
| 167 |
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|
| 168 |
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"should_decontaminate": false,
|
| 169 |
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"metadata": {
|
| 170 |
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"version": 1.0
|
| 171 |
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}
|
| 172 |
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},
|
| 173 |
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"xnli_el": {
|
| 174 |
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"task": "xnli_el",
|
| 175 |
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"group": "xnli",
|
| 176 |
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"dataset_path": "xnli",
|
| 177 |
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| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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"doc_to_choice": "{{[premise+\", σωστός? Ναί, \"+hypothesis,premise+\", σωστός? Έτσι, \"+hypothesis,premise+\", σωστός? όχι, \"+hypothesis]}}",
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| 183 |
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"description": "",
|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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{
|
| 188 |
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"metric": "acc",
|
| 189 |
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"aggregation": "mean",
|
| 190 |
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"higher_is_better": true
|
| 191 |
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}
|
| 192 |
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],
|
| 193 |
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"output_type": "multiple_choice",
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| 194 |
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| 195 |
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|
| 196 |
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| 197 |
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"version": 1.0
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| 198 |
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|
| 199 |
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},
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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"dataset_path": "xnli",
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| 204 |
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| 205 |
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"xstorycloze": {
|
| 4 |
+
"acc,none": 0.5927441188857469,
|
| 5 |
+
"acc_stderr,none": 0.05262352730974911,
|
| 6 |
+
"alias": "xstorycloze"
|
| 7 |
+
},
|
| 8 |
+
"xstorycloze_ar": {
|
| 9 |
+
"acc,none": 0.5883520847121112,
|
| 10 |
+
"acc_stderr,none": 0.01266464832921408,
|
| 11 |
+
"alias": " - xstorycloze_ar"
|
| 12 |
+
},
|
| 13 |
+
"xstorycloze_en": {
|
| 14 |
+
"acc,none": 0.7081403044341495,
|
| 15 |
+
"acc_stderr,none": 0.01169925603764938,
|
| 16 |
+
"alias": " - xstorycloze_en"
|
| 17 |
+
},
|
| 18 |
+
"xstorycloze_es": {
|
| 19 |
+
"acc,none": 0.6598279285241562,
|
| 20 |
+
"acc_stderr,none": 0.012192034998028832,
|
| 21 |
+
"alias": " - xstorycloze_es"
|
| 22 |
+
},
|
| 23 |
+
"xstorycloze_eu": {
|
| 24 |
+
"acc,none": 0.57114493712773,
|
| 25 |
+
"acc_stderr,none": 0.012736202713147777,
|
| 26 |
+
"alias": " - xstorycloze_eu"
|
| 27 |
+
},
|
| 28 |
+
"xstorycloze_hi": {
|
| 29 |
+
"acc,none": 0.6048974189278623,
|
| 30 |
+
"acc_stderr,none": 0.012580772976133262,
|
| 31 |
+
"alias": " - xstorycloze_hi"
|
| 32 |
+
},
|
| 33 |
+
"xstorycloze_id": {
|
| 34 |
+
"acc,none": 0.6419589675711449,
|
| 35 |
+
"acc_stderr,none": 0.012337624883487575,
|
| 36 |
+
"alias": " - xstorycloze_id"
|
| 37 |
+
},
|
| 38 |
+
"xstorycloze_my": {
|
| 39 |
+
"acc,none": 0.48378557246856385,
|
| 40 |
+
"acc_stderr,none": 0.012860357805055867,
|
| 41 |
+
"alias": " - xstorycloze_my"
|
| 42 |
+
},
|
| 43 |
+
"xstorycloze_ru": {
|
| 44 |
+
"acc,none": 0.5268034414295168,
|
| 45 |
+
"acc_stderr,none": 0.012848623899505765,
|
| 46 |
+
"alias": " - xstorycloze_ru"
|
| 47 |
+
},
|
| 48 |
+
"xstorycloze_sw": {
|
| 49 |
+
"acc,none": 0.5413633355393779,
|
| 50 |
+
"acc_stderr,none": 0.012823020340169822,
|
| 51 |
+
"alias": " - xstorycloze_sw"
|
| 52 |
+
},
|
| 53 |
+
"xstorycloze_te": {
|
| 54 |
+
"acc,none": 0.5744540039708802,
|
| 55 |
+
"acc_stderr,none": 0.012723670419166326,
|
| 56 |
+
"alias": " - xstorycloze_te"
|
| 57 |
+
},
|
| 58 |
+
"xstorycloze_zh": {
|
| 59 |
+
"acc,none": 0.6194573130377233,
|
| 60 |
+
"acc_stderr,none": 0.012494500786685344,
|
| 61 |
+
"alias": " - xstorycloze_zh"
|
| 62 |
+
}
|
| 63 |
+
},
|
| 64 |
+
"groups": {
|
| 65 |
+
"xstorycloze": {
|
| 66 |
+
"acc,none": 0.5927441188857469,
|
| 67 |
+
"acc_stderr,none": 0.05262352730974911,
|
| 68 |
+
"alias": "xstorycloze"
|
| 69 |
+
}
|
| 70 |
+
},
|
| 71 |
+
"configs": {
|
| 72 |
+
"xstorycloze_ar": {
|
| 73 |
+
"task": "xstorycloze_ar",
|
| 74 |
+
"group": "xstorycloze",
|
| 75 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 76 |
+
"dataset_name": "ar",
|
| 77 |
+
"training_split": "train",
|
| 78 |
+
"validation_split": "eval",
|
| 79 |
+
"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 80 |
+
"doc_to_target": "{{answer_right_ending-1}}",
|
| 81 |
+
"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 82 |
+
"description": "",
|
| 83 |
+
"target_delimiter": " ",
|
| 84 |
+
"fewshot_delimiter": "\n\n",
|
| 85 |
+
"metric_list": [
|
| 86 |
+
{
|
| 87 |
+
"metric": "acc",
|
| 88 |
+
"aggregation": "mean",
|
| 89 |
+
"higher_is_better": true
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
"output_type": "multiple_choice",
|
| 93 |
+
"repeats": 1,
|
| 94 |
+
"should_decontaminate": true,
|
| 95 |
+
"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 96 |
+
"metadata": {
|
| 97 |
+
"version": 1.0
|
| 98 |
+
}
|
| 99 |
+
},
|
| 100 |
+
"xstorycloze_en": {
|
| 101 |
+
"task": "xstorycloze_en",
|
| 102 |
+
"group": "xstorycloze",
|
| 103 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 104 |
+
"dataset_name": "en",
|
| 105 |
+
"training_split": "train",
|
| 106 |
+
"validation_split": "eval",
|
| 107 |
+
"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 108 |
+
"doc_to_target": "{{answer_right_ending-1}}",
|
| 109 |
+
"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 110 |
+
"description": "",
|
| 111 |
+
"target_delimiter": " ",
|
| 112 |
+
"fewshot_delimiter": "\n\n",
|
| 113 |
+
"metric_list": [
|
| 114 |
+
{
|
| 115 |
+
"metric": "acc",
|
| 116 |
+
"aggregation": "mean",
|
| 117 |
+
"higher_is_better": true
|
| 118 |
+
}
|
| 119 |
+
],
|
| 120 |
+
"output_type": "multiple_choice",
|
| 121 |
+
"repeats": 1,
|
| 122 |
+
"should_decontaminate": true,
|
| 123 |
+
"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 124 |
+
"metadata": {
|
| 125 |
+
"version": 1.0
|
| 126 |
+
}
|
| 127 |
+
},
|
| 128 |
+
"xstorycloze_es": {
|
| 129 |
+
"task": "xstorycloze_es",
|
| 130 |
+
"group": "xstorycloze",
|
| 131 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 132 |
+
"dataset_name": "es",
|
| 133 |
+
"training_split": "train",
|
| 134 |
+
"validation_split": "eval",
|
| 135 |
+
"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 136 |
+
"doc_to_target": "{{answer_right_ending-1}}",
|
| 137 |
+
"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 138 |
+
"description": "",
|
| 139 |
+
"target_delimiter": " ",
|
| 140 |
+
"fewshot_delimiter": "\n\n",
|
| 141 |
+
"metric_list": [
|
| 142 |
+
{
|
| 143 |
+
"metric": "acc",
|
| 144 |
+
"aggregation": "mean",
|
| 145 |
+
"higher_is_better": true
|
| 146 |
+
}
|
| 147 |
+
],
|
| 148 |
+
"output_type": "multiple_choice",
|
| 149 |
+
"repeats": 1,
|
| 150 |
+
"should_decontaminate": true,
|
| 151 |
+
"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 152 |
+
"metadata": {
|
| 153 |
+
"version": 1.0
|
| 154 |
+
}
|
| 155 |
+
},
|
| 156 |
+
"xstorycloze_eu": {
|
| 157 |
+
"task": "xstorycloze_eu",
|
| 158 |
+
"group": "xstorycloze",
|
| 159 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 160 |
+
"dataset_name": "eu",
|
| 161 |
+
"training_split": "train",
|
| 162 |
+
"validation_split": "eval",
|
| 163 |
+
"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 164 |
+
"doc_to_target": "{{answer_right_ending-1}}",
|
| 165 |
+
"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 166 |
+
"description": "",
|
| 167 |
+
"target_delimiter": " ",
|
| 168 |
+
"fewshot_delimiter": "\n\n",
|
| 169 |
+
"metric_list": [
|
| 170 |
+
{
|
| 171 |
+
"metric": "acc",
|
| 172 |
+
"aggregation": "mean",
|
| 173 |
+
"higher_is_better": true
|
| 174 |
+
}
|
| 175 |
+
],
|
| 176 |
+
"output_type": "multiple_choice",
|
| 177 |
+
"repeats": 1,
|
| 178 |
+
"should_decontaminate": true,
|
| 179 |
+
"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 180 |
+
"metadata": {
|
| 181 |
+
"version": 1.0
|
| 182 |
+
}
|
| 183 |
+
},
|
| 184 |
+
"xstorycloze_hi": {
|
| 185 |
+
"task": "xstorycloze_hi",
|
| 186 |
+
"group": "xstorycloze",
|
| 187 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 188 |
+
"dataset_name": "hi",
|
| 189 |
+
"training_split": "train",
|
| 190 |
+
"validation_split": "eval",
|
| 191 |
+
"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 192 |
+
"doc_to_target": "{{answer_right_ending-1}}",
|
| 193 |
+
"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 194 |
+
"description": "",
|
| 195 |
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|
lm-eval-output/bloom-7b1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
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