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Parent(s): bdc7415
evals
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- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +68 -68
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +429 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +58 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +74 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +74 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +63 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +62 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +148 -148
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +171 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +59 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qqp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +64 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qqp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/race/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +56 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/race/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +59 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sciq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +4 -4
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sciq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sglue_rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +61 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sglue_rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sst2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +59 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sst2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/swag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +64 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/swag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sycophancy/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +131 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sycophancy/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +79 -79
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +60 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +61 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +65 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +1 -1
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +59 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +61 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
CHANGED
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@@ -1,14 +1,14 @@
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| 1 |
{
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"results": {
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"mmlu": {
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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"alias": "mmlu"
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},
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"mmlu_humanities": {
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"alias": " - humanities",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_formal_logic": {
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"alias": " - formal_logic",
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@@ -27,8 +27,8 @@
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},
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"mmlu_high_school_world_history": {
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"alias": " - high_school_world_history",
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-
"acc,none": 0.
|
| 31 |
-
"acc_stderr,none": 0.
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},
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"mmlu_international_law": {
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"alias": " - international_law",
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@@ -38,7 +38,7 @@
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"mmlu_jurisprudence": {
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"alias": " - jurisprudence",
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"acc,none": 0.32407407407407407,
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-
"acc_stderr,none": 0.
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},
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"mmlu_logical_fallacies": {
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"alias": " - logical_fallacies",
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@@ -48,52 +48,52 @@
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"mmlu_moral_disputes": {
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"alias": " - moral_disputes",
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"acc,none": 0.315028901734104,
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-
"acc_stderr,none": 0.
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},
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"mmlu_moral_scenarios": {
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"alias": " - moral_scenarios",
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"acc,none": 0.2346368715083799,
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-
"acc_stderr,none": 0.
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},
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"mmlu_philosophy": {
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"alias": " - philosophy",
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"acc,none": 0.3987138263665595,
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-
"acc_stderr,none": 0.
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},
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"mmlu_prehistory": {
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"alias": " - prehistory",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_professional_law": {
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"alias": " - professional_law",
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"acc,none": 0.3011734028683181,
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-
"acc_stderr,none": 0.
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},
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"mmlu_world_religions": {
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"alias": " - world_religions",
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"acc,none": 0.391812865497076,
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-
"acc_stderr,none": 0.
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},
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"mmlu_other": {
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"alias": " - other",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_business_ethics": {
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"alias": " - business_ethics",
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"acc,none": 0.33,
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-
"acc_stderr,none": 0.
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},
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"mmlu_clinical_knowledge": {
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"alias": " - clinical_knowledge",
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"acc,none": 0.37358490566037733,
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-
"acc_stderr,none": 0.
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},
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"mmlu_college_medicine": {
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"alias": " - college_medicine",
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"acc,none": 0.27167630057803466,
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-
"acc_stderr,none": 0.
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},
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"mmlu_global_facts": {
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"alias": " - global_facts",
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@@ -118,42 +118,42 @@
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"mmlu_medical_genetics": {
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"alias": " - medical_genetics",
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"acc,none": 0.33,
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-
"acc_stderr,none": 0.
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},
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"mmlu_miscellaneous": {
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"alias": " - miscellaneous",
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"acc,none": 0.4367816091954023,
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-
"acc_stderr,none": 0.
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},
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"mmlu_nutrition": {
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"alias": " - nutrition",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_professional_accounting": {
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"alias": " - professional_accounting",
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"acc,none": 0.2624113475177305,
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-
"acc_stderr,none": 0.
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},
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"mmlu_professional_medicine": {
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"alias": " - professional_medicine",
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"acc,none": 0.35294117647058826,
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-
"acc_stderr,none": 0.
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},
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"mmlu_virology": {
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"alias": " - virology",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_social_sciences": {
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"alias": " - social_sciences",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_econometrics": {
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"alias": " - econometrics",
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"acc,none": 0.23684210526315788,
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-
"acc_stderr,none": 0.
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},
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"mmlu_high_school_geography": {
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"alias": " - high_school_geography",
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@@ -163,22 +163,22 @@
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"mmlu_high_school_government_and_politics": {
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"alias": " - high_school_government_and_politics",
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"acc,none": 0.45077720207253885,
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-
"acc_stderr,none": 0.
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},
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"mmlu_high_school_macroeconomics": {
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"alias": " - high_school_macroeconomics",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_high_school_microeconomics": {
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"alias": " - high_school_microeconomics",
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"acc,none": 0.31512605042016806,
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-
"acc_stderr,none": 0.
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},
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"mmlu_high_school_psychology": {
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"alias": " - high_school_psychology",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_human_sexuality": {
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"alias": " - human_sexuality",
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@@ -188,17 +188,17 @@
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"mmlu_professional_psychology": {
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"alias": " - professional_psychology",
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"acc,none": 0.3284313725490196,
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-
"acc_stderr,none": 0.
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},
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"mmlu_public_relations": {
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"alias": " - public_relations",
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"acc,none": 0.39090909090909093,
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-
"acc_stderr,none": 0.
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},
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"mmlu_security_studies": {
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"alias": " - security_studies",
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"acc,none": 0.3224489795918367,
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-
"acc_stderr,none": 0.
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},
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"mmlu_sociology": {
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"alias": " - sociology",
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@@ -207,18 +207,18 @@
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},
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"mmlu_us_foreign_policy": {
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"alias": " - us_foreign_policy",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_stem": {
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"alias": " - stem",
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-
"acc,none": 0.
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-
"acc_stderr,none": 0.
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},
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"mmlu_abstract_algebra": {
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"alias": " - abstract_algebra",
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"acc,none": 0.27,
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-
"acc_stderr,none": 0.
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},
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"mmlu_anatomy": {
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"alias": " - anatomy",
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@@ -228,7 +228,7 @@
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"mmlu_astronomy": {
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"alias": " - astronomy",
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"acc,none": 0.26973684210526316,
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-
"acc_stderr,none": 0.
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},
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"mmlu_college_biology": {
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"alias": " - college_biology",
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@@ -238,12 +238,12 @@
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"mmlu_college_chemistry": {
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"alias": " - college_chemistry",
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"acc,none": 0.32,
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-
"acc_stderr,none": 0.
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},
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"mmlu_college_computer_science": {
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"alias": " - college_computer_science",
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"acc,none": 0.19,
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-
"acc_stderr,none": 0.
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},
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"mmlu_college_mathematics": {
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"alias": " - college_mathematics",
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@@ -253,37 +253,37 @@
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"mmlu_college_physics": {
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"alias": " - college_physics",
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"acc,none": 0.22549019607843138,
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-
"acc_stderr,none": 0.
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},
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"mmlu_computer_security": {
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"alias": " - computer_security",
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"acc,none": 0.28,
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-
"acc_stderr,none": 0.
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},
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"mmlu_conceptual_physics": {
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"alias": " - conceptual_physics",
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"acc,none": 0.3659574468085106,
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-
"acc_stderr,none": 0.
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},
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"mmlu_electrical_engineering": {
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"alias": " - electrical_engineering",
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"acc,none": 0.2827586206896552,
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-
"acc_stderr,none": 0.
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},
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"mmlu_elementary_mathematics": {
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"alias": " - elementary_mathematics",
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"acc,none": 0.2619047619047619,
|
| 276 |
-
"acc_stderr,none": 0.
|
| 277 |
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|
| 278 |
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|
| 279 |
"alias": " - high_school_biology",
|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
"alias": " - high_school_chemistry",
|
| 285 |
-
"acc,none": 0.
|
| 286 |
-
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|
| 287 |
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|
| 288 |
"mmlu_high_school_computer_science": {
|
| 289 |
"alias": " - high_school_computer_science",
|
|
@@ -293,12 +293,12 @@
|
|
| 293 |
"mmlu_high_school_mathematics": {
|
| 294 |
"alias": " - high_school_mathematics",
|
| 295 |
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|
| 296 |
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|
| 297 |
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| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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|
| 302 |
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| 303 |
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|
| 304 |
"alias": " - high_school_statistics",
|
|
@@ -308,34 +308,34 @@
|
|
| 308 |
"mmlu_machine_learning": {
|
| 309 |
"alias": " - machine_learning",
|
| 310 |
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|
| 311 |
-
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|
| 312 |
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|
| 313 |
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|
| 314 |
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|
| 315 |
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|
| 316 |
-
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|
| 317 |
-
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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|
| 324 |
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|
| 325 |
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|
| 326 |
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|
| 327 |
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|
| 328 |
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|
| 329 |
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| 330 |
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|
| 331 |
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|
| 332 |
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|
| 333 |
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|
| 334 |
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| 335 |
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|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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|
|
|
| 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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| 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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|
|
|
| 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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|
| 32 |
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| 33 |
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|
| 34 |
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|
|
|
| 38 |
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|
| 39 |
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|
| 40 |
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| 41 |
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|
| 42 |
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| 43 |
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|
| 44 |
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|
|
|
| 48 |
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|
| 49 |
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|
| 50 |
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| 51 |
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| 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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| 69 |
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| 70 |
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| 71 |
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| 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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| 77 |
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|
| 79 |
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| 82 |
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| 83 |
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|
| 84 |
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| 85 |
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| 86 |
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| 87 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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|
| 94 |
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|
| 95 |
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| 97 |
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| 98 |
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|
| 99 |
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|
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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| 128 |
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| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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| 133 |
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|
| 134 |
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|
| 135 |
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| 136 |
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|
| 137 |
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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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| 148 |
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|
| 149 |
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|
| 150 |
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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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|
| 157 |
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| 158 |
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|
| 159 |
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|
|
| 163 |
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|
| 164 |
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| 165 |
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| 167 |
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| 168 |
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|
| 169 |
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| 170 |
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| 172 |
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|
| 174 |
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|
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| 179 |
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| 182 |
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| 183 |
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|
| 184 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 192 |
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|
| 194 |
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|
| 197 |
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| 199 |
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| 204 |
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|
|
|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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| 211 |
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|
| 212 |
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| 214 |
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|
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|
| 219 |
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| 221 |
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|
| 224 |
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|
| 228 |
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|
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|
| 230 |
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| 232 |
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| 234 |
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|
| 238 |
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|
| 239 |
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| 242 |
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| 244 |
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|
| 249 |
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|
| 253 |
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|
| 254 |
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| 259 |
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|
| 261 |
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|
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|
| 274 |
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| 289 |
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| 293 |
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|
| 294 |
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| 297 |
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| 299 |
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|
| 304 |
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|
| 308 |
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|
| 309 |
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|
| 310 |
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| 314 |
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|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
CHANGED
|
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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size 149131
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,429 @@
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"multimedqa": {
|
| 4 |
+
"alias": "stem",
|
| 5 |
+
"acc,none": 0.35358410220014197,
|
| 6 |
+
"acc_stderr,none": 0.09857919062749855,
|
| 7 |
+
"acc_norm,none": 0.32068854393146246,
|
| 8 |
+
"acc_norm_stderr,none": 0.00010226000674634883
|
| 9 |
+
},
|
| 10 |
+
"medmcqa": {
|
| 11 |
+
"acc,none": 0.3265598852498207,
|
| 12 |
+
"acc_stderr,none": 0.007251684390085926,
|
| 13 |
+
"acc_norm,none": 0.3265598852498207,
|
| 14 |
+
"acc_norm_stderr,none": 0.007251684390085926,
|
| 15 |
+
"alias": " - medmcqa"
|
| 16 |
+
},
|
| 17 |
+
"medqa_4options": {
|
| 18 |
+
"acc,none": 0.3102906520031422,
|
| 19 |
+
"acc_stderr,none": 0.012971011562150579,
|
| 20 |
+
"acc_norm,none": 0.3102906520031422,
|
| 21 |
+
"acc_norm_stderr,none": 0.012971011562150579,
|
| 22 |
+
"alias": " - medqa_4options"
|
| 23 |
+
},
|
| 24 |
+
"mmlu_anatomy": {
|
| 25 |
+
"alias": " - anatomy (mmlu)",
|
| 26 |
+
"acc,none": 0.34814814814814815,
|
| 27 |
+
"acc_stderr,none": 0.041153246103369526
|
| 28 |
+
},
|
| 29 |
+
"mmlu_clinical_knowledge": {
|
| 30 |
+
"alias": " - clinical_knowledge (mmlu)",
|
| 31 |
+
"acc,none": 0.3660377358490566,
|
| 32 |
+
"acc_stderr,none": 0.029647813539365256
|
| 33 |
+
},
|
| 34 |
+
"mmlu_college_biology": {
|
| 35 |
+
"alias": " - college_biology (mmlu)",
|
| 36 |
+
"acc,none": 0.3263888888888889,
|
| 37 |
+
"acc_stderr,none": 0.03921067198982266
|
| 38 |
+
},
|
| 39 |
+
"mmlu_college_medicine": {
|
| 40 |
+
"alias": " - college_medicine (mmlu)",
|
| 41 |
+
"acc,none": 0.27167630057803466,
|
| 42 |
+
"acc_stderr,none": 0.0339175032232166
|
| 43 |
+
},
|
| 44 |
+
"mmlu_medical_genetics": {
|
| 45 |
+
"alias": " - medical_genetics (mmlu)",
|
| 46 |
+
"acc,none": 0.31,
|
| 47 |
+
"acc_stderr,none": 0.04648231987117316
|
| 48 |
+
},
|
| 49 |
+
"mmlu_professional_medicine": {
|
| 50 |
+
"alias": " - professional_medicine (mmlu)",
|
| 51 |
+
"acc,none": 0.35294117647058826,
|
| 52 |
+
"acc_stderr,none": 0.029029422815681393
|
| 53 |
+
},
|
| 54 |
+
"pubmedqa": {
|
| 55 |
+
"acc,none": 0.73,
|
| 56 |
+
"acc_stderr,none": 0.019874354831287473,
|
| 57 |
+
"alias": " - pubmedqa"
|
| 58 |
+
}
|
| 59 |
+
},
|
| 60 |
+
"groups": {
|
| 61 |
+
"multimedqa": {
|
| 62 |
+
"alias": "stem",
|
| 63 |
+
"acc,none": 0.35358410220014197,
|
| 64 |
+
"acc_stderr,none": 0.09857919062749855,
|
| 65 |
+
"acc_norm,none": 0.32068854393146246,
|
| 66 |
+
"acc_norm_stderr,none": 0.00010226000674634883
|
| 67 |
+
}
|
| 68 |
+
},
|
| 69 |
+
"configs": {
|
| 70 |
+
"medmcqa": {
|
| 71 |
+
"task": "medmcqa",
|
| 72 |
+
"dataset_path": "medmcqa",
|
| 73 |
+
"training_split": "train",
|
| 74 |
+
"validation_split": "validation",
|
| 75 |
+
"test_split": "validation",
|
| 76 |
+
"doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Question: <question>\n Choices:\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n Answer:\n \"\"\"\n choices = [doc[\"opa\"], doc[\"opb\"], doc[\"opc\"], doc[\"opd\"]]\n option_choices = {'A': choices[0], 'B': choices[1], 'C': choices[2], 'D': choices[3]}\n\n prompt = \"Question: \" + doc[\"question\"] + \"\\nChoices:\\n\"\n for choice, option in option_choices.items():\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"Answer:\"\n return prompt\n",
|
| 77 |
+
"doc_to_target": "cop",
|
| 78 |
+
"doc_to_choice": [
|
| 79 |
+
"A",
|
| 80 |
+
"B",
|
| 81 |
+
"C",
|
| 82 |
+
"D"
|
| 83 |
+
],
|
| 84 |
+
"description": "",
|
| 85 |
+
"target_delimiter": " ",
|
| 86 |
+
"fewshot_delimiter": "\n\n",
|
| 87 |
+
"metric_list": [
|
| 88 |
+
{
|
| 89 |
+
"metric": "acc",
|
| 90 |
+
"aggregation": "mean",
|
| 91 |
+
"higher_is_better": true
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"metric": "acc_norm",
|
| 95 |
+
"aggregation": "mean",
|
| 96 |
+
"higher_is_better": true
|
| 97 |
+
}
|
| 98 |
+
],
|
| 99 |
+
"output_type": "multiple_choice",
|
| 100 |
+
"repeats": 1,
|
| 101 |
+
"should_decontaminate": true,
|
| 102 |
+
"doc_to_decontamination_query": "{{question}}"
|
| 103 |
+
},
|
| 104 |
+
"medqa_4options": {
|
| 105 |
+
"task": "medqa_4options",
|
| 106 |
+
"dataset_path": "GBaker/MedQA-USMLE-4-options-hf",
|
| 107 |
+
"training_split": "train",
|
| 108 |
+
"validation_split": "validation",
|
| 109 |
+
"test_split": "test",
|
| 110 |
+
"doc_to_text": "def doc_to_text(doc) -> str:\n option_choices = {'A': doc[\"ending0\"], 'B': doc[\"ending1\"], 'C': doc[\"ending2\"], 'D': doc[\"ending3\"]}\n answers = \"\".join((f\"{k}. {v}\\n\") for k, v in option_choices.items())\n return f\"Question: {doc['sent1']}\\n{answers}Answer:\"\n",
|
| 111 |
+
"doc_to_target": "def doc_to_target(doc) -> int:\n return doc[\"label\"]\n",
|
| 112 |
+
"doc_to_choice": [
|
| 113 |
+
"A",
|
| 114 |
+
"B",
|
| 115 |
+
"C",
|
| 116 |
+
"D"
|
| 117 |
+
],
|
| 118 |
+
"description": "",
|
| 119 |
+
"target_delimiter": " ",
|
| 120 |
+
"fewshot_delimiter": "\n\n",
|
| 121 |
+
"metric_list": [
|
| 122 |
+
{
|
| 123 |
+
"metric": "acc",
|
| 124 |
+
"aggregation": "mean",
|
| 125 |
+
"higher_is_better": true
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"metric": "acc_norm",
|
| 129 |
+
"aggregation": "mean",
|
| 130 |
+
"higher_is_better": true
|
| 131 |
+
}
|
| 132 |
+
],
|
| 133 |
+
"output_type": "multiple_choice",
|
| 134 |
+
"repeats": 1,
|
| 135 |
+
"should_decontaminate": false
|
| 136 |
+
},
|
| 137 |
+
"mmlu_anatomy": {
|
| 138 |
+
"task": "mmlu_anatomy",
|
| 139 |
+
"task_alias": "anatomy (mmlu)",
|
| 140 |
+
"group": "multimedqa",
|
| 141 |
+
"group_alias": "stem",
|
| 142 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 143 |
+
"dataset_name": "anatomy",
|
| 144 |
+
"test_split": "test",
|
| 145 |
+
"fewshot_split": "dev",
|
| 146 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 147 |
+
"doc_to_target": "answer",
|
| 148 |
+
"doc_to_choice": [
|
| 149 |
+
"A",
|
| 150 |
+
"B",
|
| 151 |
+
"C",
|
| 152 |
+
"D"
|
| 153 |
+
],
|
| 154 |
+
"description": "The following are multiple choice questions (with answers) about anatomy.\n\n",
|
| 155 |
+
"target_delimiter": " ",
|
| 156 |
+
"fewshot_delimiter": "\n\n",
|
| 157 |
+
"fewshot_config": {
|
| 158 |
+
"sampler": "first_n"
|
| 159 |
+
},
|
| 160 |
+
"metric_list": [
|
| 161 |
+
{
|
| 162 |
+
"metric": "acc",
|
| 163 |
+
"aggregation": "mean",
|
| 164 |
+
"higher_is_better": true
|
| 165 |
+
}
|
| 166 |
+
],
|
| 167 |
+
"output_type": "multiple_choice",
|
| 168 |
+
"repeats": 1,
|
| 169 |
+
"should_decontaminate": false,
|
| 170 |
+
"metadata": {
|
| 171 |
+
"version": 0.0
|
| 172 |
+
}
|
| 173 |
+
},
|
| 174 |
+
"mmlu_clinical_knowledge": {
|
| 175 |
+
"task": "mmlu_clinical_knowledge",
|
| 176 |
+
"task_alias": "clinical_knowledge (mmlu)",
|
| 177 |
+
"group": "multimedqa",
|
| 178 |
+
"group_alias": "other",
|
| 179 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 180 |
+
"dataset_name": "clinical_knowledge",
|
| 181 |
+
"test_split": "test",
|
| 182 |
+
"fewshot_split": "dev",
|
| 183 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 184 |
+
"doc_to_target": "answer",
|
| 185 |
+
"doc_to_choice": [
|
| 186 |
+
"A",
|
| 187 |
+
"B",
|
| 188 |
+
"C",
|
| 189 |
+
"D"
|
| 190 |
+
],
|
| 191 |
+
"description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n",
|
| 192 |
+
"target_delimiter": " ",
|
| 193 |
+
"fewshot_delimiter": "\n\n",
|
| 194 |
+
"fewshot_config": {
|
| 195 |
+
"sampler": "first_n"
|
| 196 |
+
},
|
| 197 |
+
"metric_list": [
|
| 198 |
+
{
|
| 199 |
+
"metric": "acc",
|
| 200 |
+
"aggregation": "mean",
|
| 201 |
+
"higher_is_better": true
|
| 202 |
+
}
|
| 203 |
+
],
|
| 204 |
+
"output_type": "multiple_choice",
|
| 205 |
+
"repeats": 1,
|
| 206 |
+
"should_decontaminate": false,
|
| 207 |
+
"metadata": {
|
| 208 |
+
"version": 0.0
|
| 209 |
+
}
|
| 210 |
+
},
|
| 211 |
+
"mmlu_college_biology": {
|
| 212 |
+
"task": "mmlu_college_biology",
|
| 213 |
+
"task_alias": "college_biology (mmlu)",
|
| 214 |
+
"group": "multimedqa",
|
| 215 |
+
"group_alias": "stem",
|
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"C",
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| 263 |
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"D"
|
| 264 |
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|
| 265 |
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| 20 |
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|
| 21 |
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| 22 |
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|
| 24 |
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|
| 29 |
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| 30 |
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| 32 |
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| 33 |
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| 35 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
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|
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|
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
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|
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|
| 60 |
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|
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|
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|
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|
| 72 |
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|
| 73 |
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"git_hash": "8281e96"
|
| 74 |
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}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
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version https://git-lfs.github.com/spec/v1
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size 50696
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,74 @@
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|
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|
| 11 |
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| 13 |
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"configs": {
|
| 14 |
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|
| 15 |
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"task": "mutual_plus",
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| 16 |
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|
| 17 |
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|
| 18 |
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"training_split": "train",
|
| 19 |
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|
| 20 |
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"process_docs": "def process_docs(dataset):\n def _detokenize(text):\n text = text.replace(\" '\", \"'\")\n text = text.replace(\" \\n\", \"\\n\")\n text = text.replace(\"\\n \", \"\\n\")\n text = text.replace(\" n't\", \"n't\")\n text = text.replace(\"`` \", '\"')\n text = text.replace(\"''\", '\"')\n # punctuation\n text = text.replace(\" :\", \":\")\n text = text.replace(\" ;\", \";\")\n text = text.replace(\" !\", \"!\")\n text = text.replace(\" ?\", \"?\")\n text = text.replace(\" ,\", \",\")\n text = text.replace(\" .\", \".\")\n return text\n\n def _process(doc):\n return {\n \"article\": _detokenize(doc[\"article\"]),\n \"options\": [_detokenize(option) for option in doc[\"options\"]],\n }\n\n return dataset.map(_process)\n",
|
| 21 |
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"doc_to_text": "{{article}}",
|
| 22 |
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"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answers)}}",
|
| 23 |
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"doc_to_choice": "{{options}}",
|
| 24 |
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"process_results": "def process_results(doc, results):\n gold = [\"A\", \"B\", \"C\", \"D\"].index(doc[\"answers\"])\n r4_1 = np.argmax(results) == gold # r4_1 = accuracy\n ranks = sorted(results, reverse=True)\n r4_2 = (ranks.index(results[gold]) == 1) + r4_1\n mrr = 1.0 / (ranks.index(results[gold]) + 1) # `+ 1` for index offset\n return {\"r@1\": r4_1, \"r@2\": r4_2, \"mrr\": mrr}\n",
|
| 25 |
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"description": "",
|
| 26 |
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"target_delimiter": " ",
|
| 27 |
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"fewshot_delimiter": "\n\n",
|
| 28 |
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"metric_list": [
|
| 29 |
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{
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| 30 |
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| 31 |
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|
| 32 |
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|
| 33 |
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| 35 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
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|
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|
| 61 |
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|
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|
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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|
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size 51801
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
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|
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|
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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|
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version https://git-lfs.github.com/spec/v1
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size 53887
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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|
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| 1 |
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{
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"results": {
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| 3 |
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|
| 4 |
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|
| 5 |
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"acc_stderr,none": 0.01987435483128749,
|
| 6 |
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"alias": "pubmedqa"
|
| 7 |
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}
|
| 8 |
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},
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| 9 |
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"configs": {
|
| 10 |
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"pubmedqa": {
|
| 11 |
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"task": "pubmedqa",
|
| 12 |
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"dataset_path": "bigbio/pubmed_qa",
|
| 13 |
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"dataset_name": "pubmed_qa_labeled_fold0_source",
|
| 14 |
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"training_split": "train",
|
| 15 |
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"validation_split": "validation",
|
| 16 |
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"test_split": "test",
|
| 17 |
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"doc_to_text": "def doc_to_text(doc) -> str:\n ctxs = \"\\n\".join(doc[\"CONTEXTS\"])\n return \"Abstract: {}\\nQuestion: {}\\nAnswer:\".format(\n ctxs,\n doc[\"QUESTION\"],\n )\n",
|
| 18 |
+
"doc_to_target": "final_decision",
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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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| 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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"higher_is_better": true
|
| 32 |
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|
| 33 |
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|
| 34 |
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"output_type": "multiple_choice",
|
| 35 |
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| 36 |
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|
| 37 |
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| 38 |
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|
| 39 |
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| 41 |
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| 42 |
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| 43 |
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|
| 44 |
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| 46 |
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| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 43156
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
CHANGED
|
@@ -1,18 +1,18 @@
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| 1 |
{
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| 2 |
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| 16 |
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|
@@ -24,46 +24,46 @@
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| 24 |
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| 25 |
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| 26 |
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| 31 |
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| 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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|
| 37 |
"alias": " - arc_easy"
|
| 38 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
"alias": " - blimp"
|
| 43 |
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|
| 44 |
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|
| 45 |
"acc,none": 0.913,
|
| 46 |
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"acc_stderr,none": 0.
|
| 47 |
"alias": " - blimp_adjunct_island"
|
| 48 |
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|
| 49 |
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|
| 50 |
"acc,none": 0.988,
|
| 51 |
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"acc_stderr,none": 0.
|
| 52 |
"alias": " - blimp_anaphor_gender_agreement"
|
| 53 |
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|
| 54 |
"blimp_anaphor_number_agreement": {
|
| 55 |
"acc,none": 0.999,
|
| 56 |
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"acc_stderr,none": 0.
|
| 57 |
"alias": " - blimp_anaphor_number_agreement"
|
| 58 |
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|
| 59 |
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|
| 60 |
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"acc,none": 0.
|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
"acc,none": 0.912,
|
| 66 |
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"acc_stderr,none": 0.
|
| 67 |
"alias": " - blimp_animate_subject_trans"
|
| 68 |
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|
| 69 |
"blimp_causative": {
|
|
@@ -83,17 +83,17 @@
|
|
| 83 |
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|
| 84 |
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|
| 85 |
"acc,none": 0.861,
|
| 86 |
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"acc_stderr,none": 0.
|
| 87 |
"alias": " - blimp_coordinate_structure_constraint_object_extraction"
|
| 88 |
},
|
| 89 |
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|
| 90 |
"acc,none": 0.997,
|
| 91 |
-
"acc_stderr,none": 0.
|
| 92 |
"alias": " - blimp_determiner_noun_agreement_1"
|
| 93 |
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|
| 94 |
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|
| 95 |
"acc,none": 0.986,
|
| 96 |
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"acc_stderr,none": 0.
|
| 97 |
"alias": " - blimp_determiner_noun_agreement_2"
|
| 98 |
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|
| 99 |
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|
@@ -103,17 +103,17 @@
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|
| 103 |
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|
| 104 |
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|
| 105 |
"acc,none": 0.965,
|
| 106 |
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"acc_stderr,none": 0.
|
| 107 |
"alias": " - blimp_determiner_noun_agreement_irregular_2"
|
| 108 |
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|
| 109 |
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|
| 110 |
"acc,none": 0.964,
|
| 111 |
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"acc_stderr,none": 0.
|
| 112 |
"alias": " - blimp_determiner_noun_agreement_with_adj_2"
|
| 113 |
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|
| 114 |
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|
| 115 |
"acc,none": 0.938,
|
| 116 |
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"acc_stderr,none": 0.
|
| 117 |
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1"
|
| 118 |
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|
| 119 |
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|
|
@@ -123,72 +123,72 @@
|
|
| 123 |
},
|
| 124 |
"blimp_determiner_noun_agreement_with_adjective_1": {
|
| 125 |
"acc,none": 0.98,
|
| 126 |
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"acc_stderr,none": 0.
|
| 127 |
"alias": " - blimp_determiner_noun_agreement_with_adjective_1"
|
| 128 |
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|
| 129 |
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|
| 130 |
"acc,none": 0.926,
|
| 131 |
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"acc_stderr,none": 0.
|
| 132 |
"alias": " - blimp_distractor_agreement_relational_noun"
|
| 133 |
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|
| 134 |
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|
| 135 |
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"acc,none": 0.
|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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"acc,none": 0.
|
| 141 |
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"acc_stderr,none": 0.
|
| 142 |
"alias": " - blimp_drop_argument"
|
| 143 |
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|
| 144 |
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|
| 145 |
"acc,none": 0.81,
|
| 146 |
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"acc_stderr,none": 0.
|
| 147 |
"alias": " - blimp_ellipsis_n_bar_1"
|
| 148 |
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|
| 149 |
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|
| 150 |
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"acc,none": 0.
|
| 151 |
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"acc_stderr,none": 0.
|
| 152 |
"alias": " - blimp_ellipsis_n_bar_2"
|
| 153 |
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|
| 154 |
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|
| 155 |
"acc,none": 0.832,
|
| 156 |
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"acc_stderr,none": 0.
|
| 157 |
"alias": " - blimp_existential_there_object_raising"
|
| 158 |
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|
| 159 |
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|
| 160 |
"acc,none": 0.984,
|
| 161 |
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"acc_stderr,none": 0.
|
| 162 |
"alias": " - blimp_existential_there_quantifiers_1"
|
| 163 |
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|
| 164 |
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|
| 165 |
"acc,none": 0.431,
|
| 166 |
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"acc_stderr,none": 0.
|
| 167 |
"alias": " - blimp_existential_there_quantifiers_2"
|
| 168 |
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|
| 169 |
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|
| 170 |
"acc,none": 0.853,
|
| 171 |
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"acc_stderr,none": 0.
|
| 172 |
"alias": " - blimp_existential_there_subject_raising"
|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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"acc_stderr,none": 0.
|
| 177 |
"alias": " - blimp_expletive_it_object_raising"
|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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"acc_stderr,none": 0.
|
| 182 |
"alias": " - blimp_inchoative"
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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"acc_stderr,none": 0.
|
| 187 |
"alias": " - blimp_intransitive"
|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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"acc_stderr,none": 0.
|
| 192 |
"alias": " - blimp_irregular_past_participle_adjectives"
|
| 193 |
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|
| 194 |
"blimp_irregular_past_participle_verbs": {
|
|
@@ -198,17 +198,17 @@
|
|
| 198 |
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|
| 199 |
"blimp_irregular_plural_subject_verb_agreement_1": {
|
| 200 |
"acc,none": 0.937,
|
| 201 |
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"acc_stderr,none": 0.
|
| 202 |
"alias": " - blimp_irregular_plural_subject_verb_agreement_1"
|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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"acc_stderr,none": 0.
|
| 207 |
"alias": " - blimp_irregular_plural_subject_verb_agreement_2"
|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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"acc_stderr,none": 0.
|
| 212 |
"alias": " - blimp_left_branch_island_echo_question"
|
| 213 |
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|
| 214 |
"blimp_left_branch_island_simple_question": {
|
|
@@ -223,37 +223,37 @@
|
|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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"acc_stderr,none": 0.
|
| 227 |
"alias": " - blimp_npi_present_1"
|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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"acc_stderr,none": 0.
|
| 232 |
"alias": " - blimp_npi_present_2"
|
| 233 |
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|
| 234 |
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|
| 235 |
"acc,none": 0.937,
|
| 236 |
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"acc_stderr,none": 0.
|
| 237 |
"alias": " - blimp_only_npi_licensor_present"
|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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"acc_stderr,none": 0.
|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
"acc,none": 0.898,
|
| 246 |
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"acc_stderr,none": 0.
|
| 247 |
"alias": " - blimp_passive_1"
|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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"acc_stderr,none": 0.
|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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"acc_stderr,none": 0.
|
| 257 |
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|
| 258 |
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|
| 259 |
"blimp_principle_A_case_1": {
|
|
@@ -263,22 +263,22 @@
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|
| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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"acc_stderr,none": 0.
|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
"acc,none": 0.999,
|
| 271 |
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"acc_stderr,none": 0.
|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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|
| 276 |
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"acc_stderr,none": 0.
|
| 277 |
"alias": " - blimp_principle_A_domain_2"
|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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"acc_stderr,none": 0.
|
| 282 |
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|
| 283 |
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|
| 284 |
"blimp_principle_A_reconstruction": {
|
|
@@ -288,27 +288,27 @@
|
|
| 288 |
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|
| 289 |
"blimp_regular_plural_subject_verb_agreement_1": {
|
| 290 |
"acc,none": 0.966,
|
| 291 |
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"acc_stderr,none": 0.
|
| 292 |
"alias": " - blimp_regular_plural_subject_verb_agreement_1"
|
| 293 |
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|
| 294 |
"blimp_regular_plural_subject_verb_agreement_2": {
|
| 295 |
"acc,none": 0.915,
|
| 296 |
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"acc_stderr,none": 0.
|
| 297 |
"alias": " - blimp_regular_plural_subject_verb_agreement_2"
|
| 298 |
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|
| 299 |
"blimp_sentential_negation_npi_licensor_present": {
|
| 300 |
"acc,none": 0.986,
|
| 301 |
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"acc_stderr,none": 0.
|
| 302 |
"alias": " - blimp_sentential_negation_npi_licensor_present"
|
| 303 |
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|
| 304 |
"blimp_sentential_negation_npi_scope": {
|
| 305 |
"acc,none": 0.731,
|
| 306 |
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"acc_stderr,none": 0.
|
| 307 |
"alias": " - blimp_sentential_negation_npi_scope"
|
| 308 |
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|
| 309 |
"blimp_sentential_subject_island": {
|
| 310 |
"acc,none": 0.474,
|
| 311 |
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"acc_stderr,none": 0.
|
| 312 |
"alias": " - blimp_sentential_subject_island"
|
| 313 |
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|
| 314 |
"blimp_superlative_quantifiers_1": {
|
|
@@ -318,17 +318,17 @@
|
|
| 318 |
},
|
| 319 |
"blimp_superlative_quantifiers_2": {
|
| 320 |
"acc,none": 0.96,
|
| 321 |
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"acc_stderr,none": 0.
|
| 322 |
"alias": " - blimp_superlative_quantifiers_2"
|
| 323 |
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|
| 324 |
"blimp_tough_vs_raising_1": {
|
| 325 |
"acc,none": 0.636,
|
| 326 |
-
"acc_stderr,none": 0.
|
| 327 |
"alias": " - blimp_tough_vs_raising_1"
|
| 328 |
},
|
| 329 |
"blimp_tough_vs_raising_2": {
|
| 330 |
"acc,none": 0.87,
|
| 331 |
-
"acc_stderr,none": 0.
|
| 332 |
"alias": " - blimp_tough_vs_raising_2"
|
| 333 |
},
|
| 334 |
"blimp_transitive": {
|
|
@@ -338,7 +338,7 @@
|
|
| 338 |
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|
| 339 |
"blimp_wh_island": {
|
| 340 |
"acc,none": 0.814,
|
| 341 |
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"acc_stderr,none": 0.
|
| 342 |
"alias": " - blimp_wh_island"
|
| 343 |
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|
| 344 |
"blimp_wh_questions_object_gap": {
|
|
@@ -348,57 +348,57 @@
|
|
| 348 |
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|
| 349 |
"blimp_wh_questions_subject_gap": {
|
| 350 |
"acc,none": 0.937,
|
| 351 |
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"acc_stderr,none": 0.
|
| 352 |
"alias": " - blimp_wh_questions_subject_gap"
|
| 353 |
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|
| 354 |
"blimp_wh_questions_subject_gap_long_distance": {
|
| 355 |
"acc,none": 0.922,
|
| 356 |
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"acc_stderr,none": 0.
|
| 357 |
"alias": " - blimp_wh_questions_subject_gap_long_distance"
|
| 358 |
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|
| 359 |
"blimp_wh_vs_that_no_gap": {
|
| 360 |
"acc,none": 0.981,
|
| 361 |
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"acc_stderr,none": 0.
|
| 362 |
"alias": " - blimp_wh_vs_that_no_gap"
|
| 363 |
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|
| 364 |
"blimp_wh_vs_that_no_gap_long_distance": {
|
| 365 |
"acc,none": 0.967,
|
| 366 |
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"acc_stderr,none": 0.
|
| 367 |
"alias": " - blimp_wh_vs_that_no_gap_long_distance"
|
| 368 |
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|
| 369 |
"blimp_wh_vs_that_with_gap": {
|
| 370 |
"acc,none": 0.405,
|
| 371 |
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"acc_stderr,none": 0.
|
| 372 |
"alias": " - blimp_wh_vs_that_with_gap"
|
| 373 |
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|
| 374 |
"blimp_wh_vs_that_with_gap_long_distance": {
|
| 375 |
"acc,none": 0.359,
|
| 376 |
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"acc_stderr,none": 0.
|
| 377 |
"alias": " - blimp_wh_vs_that_with_gap_long_distance"
|
| 378 |
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|
| 379 |
"lambada_openai": {
|
| 380 |
-
"perplexity,none": 3.
|
| 381 |
-
"perplexity_stderr,none": 0.
|
| 382 |
-
"acc,none": 0.
|
| 383 |
-
"acc_stderr,none": 0.
|
| 384 |
"alias": " - lambada_openai"
|
| 385 |
},
|
| 386 |
"logiqa": {
|
| 387 |
"acc,none": 0.2457757296466974,
|
| 388 |
-
"acc_stderr,none": 0.
|
| 389 |
"acc_norm,none": 0.28417818740399386,
|
| 390 |
-
"acc_norm_stderr,none": 0.
|
| 391 |
"alias": " - logiqa"
|
| 392 |
},
|
| 393 |
"mmlu": {
|
| 394 |
-
"acc,none": 0.
|
| 395 |
-
"acc_stderr,none": 0.
|
| 396 |
"alias": " - mmlu"
|
| 397 |
},
|
| 398 |
"mmlu_humanities": {
|
| 399 |
"alias": " - humanities",
|
| 400 |
-
"acc,none": 0.
|
| 401 |
-
"acc_stderr,none": 0.
|
| 402 |
},
|
| 403 |
"mmlu_formal_logic": {
|
| 404 |
"alias": " - formal_logic",
|
|
@@ -417,8 +417,8 @@
|
|
| 417 |
},
|
| 418 |
"mmlu_high_school_world_history": {
|
| 419 |
"alias": " - high_school_world_history",
|
| 420 |
-
"acc,none": 0.
|
| 421 |
-
"acc_stderr,none": 0.
|
| 422 |
},
|
| 423 |
"mmlu_international_law": {
|
| 424 |
"alias": " - international_law",
|
|
@@ -428,7 +428,7 @@
|
|
| 428 |
"mmlu_jurisprudence": {
|
| 429 |
"alias": " - jurisprudence",
|
| 430 |
"acc,none": 0.32407407407407407,
|
| 431 |
-
"acc_stderr,none": 0.
|
| 432 |
},
|
| 433 |
"mmlu_logical_fallacies": {
|
| 434 |
"alias": " - logical_fallacies",
|
|
@@ -438,52 +438,52 @@
|
|
| 438 |
"mmlu_moral_disputes": {
|
| 439 |
"alias": " - moral_disputes",
|
| 440 |
"acc,none": 0.315028901734104,
|
| 441 |
-
"acc_stderr,none": 0.
|
| 442 |
},
|
| 443 |
"mmlu_moral_scenarios": {
|
| 444 |
"alias": " - moral_scenarios",
|
| 445 |
"acc,none": 0.2346368715083799,
|
| 446 |
-
"acc_stderr,none": 0.
|
| 447 |
},
|
| 448 |
"mmlu_philosophy": {
|
| 449 |
"alias": " - philosophy",
|
| 450 |
"acc,none": 0.3987138263665595,
|
| 451 |
-
"acc_stderr,none": 0.
|
| 452 |
},
|
| 453 |
"mmlu_prehistory": {
|
| 454 |
"alias": " - prehistory",
|
| 455 |
-
"acc,none": 0.
|
| 456 |
-
"acc_stderr,none": 0.
|
| 457 |
},
|
| 458 |
"mmlu_professional_law": {
|
| 459 |
"alias": " - professional_law",
|
| 460 |
"acc,none": 0.3011734028683181,
|
| 461 |
-
"acc_stderr,none": 0.
|
| 462 |
},
|
| 463 |
"mmlu_world_religions": {
|
| 464 |
"alias": " - world_religions",
|
| 465 |
"acc,none": 0.391812865497076,
|
| 466 |
-
"acc_stderr,none": 0.
|
| 467 |
},
|
| 468 |
"mmlu_other": {
|
| 469 |
"alias": " - other",
|
| 470 |
"acc,none": 0.36594785967170906,
|
| 471 |
-
"acc_stderr,none": 0.
|
| 472 |
},
|
| 473 |
"mmlu_business_ethics": {
|
| 474 |
"alias": " - business_ethics",
|
| 475 |
"acc,none": 0.33,
|
| 476 |
-
"acc_stderr,none": 0.
|
| 477 |
},
|
| 478 |
"mmlu_clinical_knowledge": {
|
| 479 |
"alias": " - clinical_knowledge",
|
| 480 |
"acc,none": 0.37358490566037733,
|
| 481 |
-
"acc_stderr,none": 0.
|
| 482 |
},
|
| 483 |
"mmlu_college_medicine": {
|
| 484 |
"alias": " - college_medicine",
|
| 485 |
"acc,none": 0.27167630057803466,
|
| 486 |
-
"acc_stderr,none": 0.
|
| 487 |
},
|
| 488 |
"mmlu_global_facts": {
|
| 489 |
"alias": " - global_facts",
|
|
@@ -508,27 +508,27 @@
|
|
| 508 |
"mmlu_medical_genetics": {
|
| 509 |
"alias": " - medical_genetics",
|
| 510 |
"acc,none": 0.33,
|
| 511 |
-
"acc_stderr,none": 0.
|
| 512 |
},
|
| 513 |
"mmlu_miscellaneous": {
|
| 514 |
"alias": " - miscellaneous",
|
| 515 |
"acc,none": 0.4367816091954023,
|
| 516 |
-
"acc_stderr,none": 0.
|
| 517 |
},
|
| 518 |
"mmlu_nutrition": {
|
| 519 |
"alias": " - nutrition",
|
| 520 |
"acc,none": 0.3235294117647059,
|
| 521 |
-
"acc_stderr,none": 0.
|
| 522 |
},
|
| 523 |
"mmlu_professional_accounting": {
|
| 524 |
"alias": " - professional_accounting",
|
| 525 |
"acc,none": 0.2624113475177305,
|
| 526 |
-
"acc_stderr,none": 0.
|
| 527 |
},
|
| 528 |
"mmlu_professional_medicine": {
|
| 529 |
"alias": " - professional_medicine",
|
| 530 |
"acc,none": 0.35294117647058826,
|
| 531 |
-
"acc_stderr,none": 0.
|
| 532 |
},
|
| 533 |
"mmlu_virology": {
|
| 534 |
"alias": " - virology",
|
|
@@ -538,12 +538,12 @@
|
|
| 538 |
"mmlu_social_sciences": {
|
| 539 |
"alias": " - social_sciences",
|
| 540 |
"acc,none": 0.35359116022099446,
|
| 541 |
-
"acc_stderr,none": 0.
|
| 542 |
},
|
| 543 |
"mmlu_econometrics": {
|
| 544 |
"alias": " - econometrics",
|
| 545 |
"acc,none": 0.23684210526315788,
|
| 546 |
-
"acc_stderr,none": 0.
|
| 547 |
},
|
| 548 |
"mmlu_high_school_geography": {
|
| 549 |
"alias": " - high_school_geography",
|
|
@@ -553,17 +553,17 @@
|
|
| 553 |
"mmlu_high_school_government_and_politics": {
|
| 554 |
"alias": " - high_school_government_and_politics",
|
| 555 |
"acc,none": 0.45077720207253885,
|
| 556 |
-
"acc_stderr,none": 0.
|
| 557 |
},
|
| 558 |
"mmlu_high_school_macroeconomics": {
|
| 559 |
"alias": " - high_school_macroeconomics",
|
| 560 |
"acc,none": 0.3076923076923077,
|
| 561 |
-
"acc_stderr,none": 0.
|
| 562 |
},
|
| 563 |
"mmlu_high_school_microeconomics": {
|
| 564 |
"alias": " - high_school_microeconomics",
|
| 565 |
"acc,none": 0.31512605042016806,
|
| 566 |
-
"acc_stderr,none": 0.
|
| 567 |
},
|
| 568 |
"mmlu_high_school_psychology": {
|
| 569 |
"alias": " - high_school_psychology",
|
|
@@ -578,17 +578,17 @@
|
|
| 578 |
"mmlu_professional_psychology": {
|
| 579 |
"alias": " - professional_psychology",
|
| 580 |
"acc,none": 0.3284313725490196,
|
| 581 |
-
"acc_stderr,none": 0.
|
| 582 |
},
|
| 583 |
"mmlu_public_relations": {
|
| 584 |
"alias": " - public_relations",
|
| 585 |
"acc,none": 0.39090909090909093,
|
| 586 |
-
"acc_stderr,none": 0.
|
| 587 |
},
|
| 588 |
"mmlu_security_studies": {
|
| 589 |
"alias": " - security_studies",
|
| 590 |
"acc,none": 0.3224489795918367,
|
| 591 |
-
"acc_stderr,none": 0.
|
| 592 |
},
|
| 593 |
"mmlu_sociology": {
|
| 594 |
"alias": " - sociology",
|
|
@@ -598,17 +598,17 @@
|
|
| 598 |
"mmlu_us_foreign_policy": {
|
| 599 |
"alias": " - us_foreign_policy",
|
| 600 |
"acc,none": 0.44,
|
| 601 |
-
"acc_stderr,none": 0.
|
| 602 |
},
|
| 603 |
"mmlu_stem": {
|
| 604 |
"alias": " - stem",
|
| 605 |
-
"acc,none": 0.
|
| 606 |
-
"acc_stderr,none": 0.
|
| 607 |
},
|
| 608 |
"mmlu_abstract_algebra": {
|
| 609 |
"alias": " - abstract_algebra",
|
| 610 |
"acc,none": 0.27,
|
| 611 |
-
"acc_stderr,none": 0.
|
| 612 |
},
|
| 613 |
"mmlu_anatomy": {
|
| 614 |
"alias": " - anatomy",
|
|
@@ -618,7 +618,7 @@
|
|
| 618 |
"mmlu_astronomy": {
|
| 619 |
"alias": " - astronomy",
|
| 620 |
"acc,none": 0.26973684210526316,
|
| 621 |
-
"acc_stderr,none": 0.
|
| 622 |
},
|
| 623 |
"mmlu_college_biology": {
|
| 624 |
"alias": " - college_biology",
|
|
@@ -628,12 +628,12 @@
|
|
| 628 |
"mmlu_college_chemistry": {
|
| 629 |
"alias": " - college_chemistry",
|
| 630 |
"acc,none": 0.32,
|
| 631 |
-
"acc_stderr,none": 0.
|
| 632 |
},
|
| 633 |
"mmlu_college_computer_science": {
|
| 634 |
"alias": " - college_computer_science",
|
| 635 |
"acc,none": 0.19,
|
| 636 |
-
"acc_stderr,none": 0.
|
| 637 |
},
|
| 638 |
"mmlu_college_mathematics": {
|
| 639 |
"alias": " - college_mathematics",
|
|
@@ -643,37 +643,37 @@
|
|
| 643 |
"mmlu_college_physics": {
|
| 644 |
"alias": " - college_physics",
|
| 645 |
"acc,none": 0.22549019607843138,
|
| 646 |
-
"acc_stderr,none": 0.
|
| 647 |
},
|
| 648 |
"mmlu_computer_security": {
|
| 649 |
"alias": " - computer_security",
|
| 650 |
"acc,none": 0.28,
|
| 651 |
-
"acc_stderr,none": 0.
|
| 652 |
},
|
| 653 |
"mmlu_conceptual_physics": {
|
| 654 |
"alias": " - conceptual_physics",
|
| 655 |
"acc,none": 0.3702127659574468,
|
| 656 |
-
"acc_stderr,none": 0.
|
| 657 |
},
|
| 658 |
"mmlu_electrical_engineering": {
|
| 659 |
"alias": " - electrical_engineering",
|
| 660 |
"acc,none": 0.2827586206896552,
|
| 661 |
-
"acc_stderr,none": 0.
|
| 662 |
},
|
| 663 |
"mmlu_elementary_mathematics": {
|
| 664 |
"alias": " - elementary_mathematics",
|
| 665 |
"acc,none": 0.2619047619047619,
|
| 666 |
-
"acc_stderr,none": 0.
|
| 667 |
},
|
| 668 |
"mmlu_high_school_biology": {
|
| 669 |
"alias": " - high_school_biology",
|
| 670 |
"acc,none": 0.3967741935483871,
|
| 671 |
-
"acc_stderr,none": 0.
|
| 672 |
},
|
| 673 |
"mmlu_high_school_chemistry": {
|
| 674 |
"alias": " - high_school_chemistry",
|
| 675 |
-
"acc,none": 0.
|
| 676 |
-
"acc_stderr,none": 0.
|
| 677 |
},
|
| 678 |
"mmlu_high_school_computer_science": {
|
| 679 |
"alias": " - high_school_computer_science",
|
|
@@ -683,12 +683,12 @@
|
|
| 683 |
"mmlu_high_school_mathematics": {
|
| 684 |
"alias": " - high_school_mathematics",
|
| 685 |
"acc,none": 0.24814814814814815,
|
| 686 |
-
"acc_stderr,none": 0.
|
| 687 |
},
|
| 688 |
"mmlu_high_school_physics": {
|
| 689 |
"alias": " - high_school_physics",
|
| 690 |
"acc,none": 0.23841059602649006,
|
| 691 |
-
"acc_stderr,none": 0.
|
| 692 |
},
|
| 693 |
"mmlu_high_school_statistics": {
|
| 694 |
"alias": " - high_school_statistics",
|
|
@@ -698,56 +698,56 @@
|
|
| 698 |
"mmlu_machine_learning": {
|
| 699 |
"alias": " - machine_learning",
|
| 700 |
"acc,none": 0.2767857142857143,
|
| 701 |
-
"acc_stderr,none": 0.
|
| 702 |
},
|
| 703 |
"piqa": {
|
| 704 |
"acc,none": 0.7704026115342764,
|
| 705 |
-
"acc_stderr,none": 0.
|
| 706 |
"acc_norm,none": 0.7731229597388466,
|
| 707 |
"acc_norm_stderr,none": 0.009771584259215167,
|
| 708 |
"alias": " - piqa"
|
| 709 |
},
|
| 710 |
"sciq": {
|
| 711 |
"acc,none": 0.956,
|
| 712 |
-
"acc_stderr,none": 0.
|
| 713 |
"acc_norm,none": 0.93,
|
| 714 |
-
"acc_norm_stderr,none": 0.
|
| 715 |
"alias": " - sciq"
|
| 716 |
},
|
| 717 |
"wikitext": {
|
| 718 |
-
"word_perplexity,none": 10.
|
| 719 |
"word_perplexity_stderr,none": "N/A",
|
| 720 |
-
"byte_perplexity,none": 1.
|
| 721 |
"byte_perplexity_stderr,none": "N/A",
|
| 722 |
-
"bits_per_byte,none": 0.
|
| 723 |
"bits_per_byte_stderr,none": "N/A",
|
| 724 |
"alias": " - wikitext"
|
| 725 |
},
|
| 726 |
"winogrande": {
|
| 727 |
"acc,none": 0.6740331491712708,
|
| 728 |
-
"acc_stderr,none": 0.
|
| 729 |
"alias": " - winogrande"
|
| 730 |
},
|
| 731 |
"wsc": {
|
| 732 |
"acc,none": 0.49038461538461536,
|
| 733 |
-
"acc_stderr,none": 0.
|
| 734 |
"alias": " - wsc"
|
| 735 |
}
|
| 736 |
},
|
| 737 |
"groups": {
|
| 738 |
"pythia": {
|
| 739 |
-
"acc,none": 0.
|
| 740 |
-
"acc_stderr,none": 0.
|
| 741 |
"acc_norm,none": 0.6280221175210029,
|
| 742 |
"acc_norm_stderr,none": 0.010330170441803736,
|
| 743 |
-
"word_perplexity,none": 10.
|
| 744 |
"word_perplexity_stderr,none": "N/A",
|
| 745 |
-
"byte_perplexity,none": 1.
|
| 746 |
"byte_perplexity_stderr,none": "N/A",
|
| 747 |
-
"bits_per_byte,none": 0.
|
| 748 |
"bits_per_byte_stderr,none": "N/A",
|
| 749 |
-
"perplexity,none": 3.
|
| 750 |
-
"perplexity_stderr,none": 0.
|
| 751 |
"alias": "pythia"
|
| 752 |
},
|
| 753 |
"ai2_arc": {
|
|
@@ -759,33 +759,33 @@
|
|
| 759 |
},
|
| 760 |
"blimp": {
|
| 761 |
"acc,none": 0.8386865671641791,
|
| 762 |
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"acc_stderr,none": 0.
|
| 763 |
"alias": " - blimp"
|
| 764 |
},
|
| 765 |
"mmlu": {
|
| 766 |
-
"acc,none": 0.
|
| 767 |
-
"acc_stderr,none": 0.
|
| 768 |
"alias": " - mmlu"
|
| 769 |
},
|
| 770 |
"mmlu_humanities": {
|
| 771 |
"alias": " - humanities",
|
| 772 |
-
"acc,none": 0.
|
| 773 |
-
"acc_stderr,none": 0.
|
| 774 |
},
|
| 775 |
"mmlu_other": {
|
| 776 |
"alias": " - other",
|
| 777 |
"acc,none": 0.36594785967170906,
|
| 778 |
-
"acc_stderr,none": 0.
|
| 779 |
},
|
| 780 |
"mmlu_social_sciences": {
|
| 781 |
"alias": " - social_sciences",
|
| 782 |
"acc,none": 0.35359116022099446,
|
| 783 |
-
"acc_stderr,none": 0.
|
| 784 |
},
|
| 785 |
"mmlu_stem": {
|
| 786 |
"alias": " - stem",
|
| 787 |
-
"acc,none": 0.
|
| 788 |
-
"acc_stderr,none": 0.
|
| 789 |
}
|
| 790 |
},
|
| 791 |
"configs": {
|
|
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"pythia": {
|
| 4 |
+
"acc,none": 0.7433912692426552,
|
| 5 |
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"acc_stderr,none": 0.14350617224236548,
|
| 6 |
"acc_norm,none": 0.6280221175210029,
|
| 7 |
"acc_norm_stderr,none": 0.010330170441803736,
|
| 8 |
+
"word_perplexity,none": 10.428882412474298,
|
| 9 |
"word_perplexity_stderr,none": "N/A",
|
| 10 |
+
"byte_perplexity,none": 1.5502993074551348,
|
| 11 |
"byte_perplexity_stderr,none": "N/A",
|
| 12 |
+
"bits_per_byte,none": 0.6325467753027727,
|
| 13 |
"bits_per_byte_stderr,none": "N/A",
|
| 14 |
+
"perplexity,none": 3.3763932503864287,
|
| 15 |
+
"perplexity_stderr,none": 0.06622884189802866,
|
| 16 |
"alias": "pythia"
|
| 17 |
},
|
| 18 |
"ai2_arc": {
|
|
|
|
| 24 |
},
|
| 25 |
"arc_challenge": {
|
| 26 |
"acc,none": 0.39761092150170646,
|
| 27 |
+
"acc_stderr,none": 0.014301752223279531,
|
| 28 |
"acc_norm,none": 0.4308873720136519,
|
| 29 |
+
"acc_norm_stderr,none": 0.014471133392642483,
|
| 30 |
"alias": " - arc_challenge"
|
| 31 |
},
|
| 32 |
"arc_easy": {
|
| 33 |
"acc,none": 0.7369528619528619,
|
| 34 |
"acc_stderr,none": 0.00903451489886582,
|
| 35 |
"acc_norm,none": 0.7192760942760943,
|
| 36 |
+
"acc_norm_stderr,none": 0.00922052617471136,
|
| 37 |
"alias": " - arc_easy"
|
| 38 |
},
|
| 39 |
"blimp": {
|
| 40 |
"acc,none": 0.8386865671641791,
|
| 41 |
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"acc_stderr,none": 0.14955502218955172,
|
| 42 |
"alias": " - blimp"
|
| 43 |
},
|
| 44 |
"blimp_adjunct_island": {
|
| 45 |
"acc,none": 0.913,
|
| 46 |
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"acc_stderr,none": 0.008916866630745892,
|
| 47 |
"alias": " - blimp_adjunct_island"
|
| 48 |
},
|
| 49 |
"blimp_anaphor_gender_agreement": {
|
| 50 |
"acc,none": 0.988,
|
| 51 |
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"acc_stderr,none": 0.003444977194099851,
|
| 52 |
"alias": " - blimp_anaphor_gender_agreement"
|
| 53 |
},
|
| 54 |
"blimp_anaphor_number_agreement": {
|
| 55 |
"acc,none": 0.999,
|
| 56 |
+
"acc_stderr,none": 0.0010000000000000091,
|
| 57 |
"alias": " - blimp_anaphor_number_agreement"
|
| 58 |
},
|
| 59 |
"blimp_animate_subject_passive": {
|
| 60 |
+
"acc,none": 0.828,
|
| 61 |
+
"acc_stderr,none": 0.011939788882495323,
|
| 62 |
"alias": " - blimp_animate_subject_passive"
|
| 63 |
},
|
| 64 |
"blimp_animate_subject_trans": {
|
| 65 |
"acc,none": 0.912,
|
| 66 |
+
"acc_stderr,none": 0.008963053962592069,
|
| 67 |
"alias": " - blimp_animate_subject_trans"
|
| 68 |
},
|
| 69 |
"blimp_causative": {
|
|
|
|
| 83 |
},
|
| 84 |
"blimp_coordinate_structure_constraint_object_extraction": {
|
| 85 |
"acc,none": 0.861,
|
| 86 |
+
"acc_stderr,none": 0.010945263761042962,
|
| 87 |
"alias": " - blimp_coordinate_structure_constraint_object_extraction"
|
| 88 |
},
|
| 89 |
"blimp_determiner_noun_agreement_1": {
|
| 90 |
"acc,none": 0.997,
|
| 91 |
+
"acc_stderr,none": 0.0017303161543469375,
|
| 92 |
"alias": " - blimp_determiner_noun_agreement_1"
|
| 93 |
},
|
| 94 |
"blimp_determiner_noun_agreement_2": {
|
| 95 |
"acc,none": 0.986,
|
| 96 |
+
"acc_stderr,none": 0.0037172325482565543,
|
| 97 |
"alias": " - blimp_determiner_noun_agreement_2"
|
| 98 |
},
|
| 99 |
"blimp_determiner_noun_agreement_irregular_1": {
|
|
|
|
| 103 |
},
|
| 104 |
"blimp_determiner_noun_agreement_irregular_2": {
|
| 105 |
"acc,none": 0.965,
|
| 106 |
+
"acc_stderr,none": 0.005814534272734967,
|
| 107 |
"alias": " - blimp_determiner_noun_agreement_irregular_2"
|
| 108 |
},
|
| 109 |
"blimp_determiner_noun_agreement_with_adj_2": {
|
| 110 |
"acc,none": 0.964,
|
| 111 |
+
"acc_stderr,none": 0.005893957816165557,
|
| 112 |
"alias": " - blimp_determiner_noun_agreement_with_adj_2"
|
| 113 |
},
|
| 114 |
"blimp_determiner_noun_agreement_with_adj_irregular_1": {
|
| 115 |
"acc,none": 0.938,
|
| 116 |
+
"acc_stderr,none": 0.0076298239962803134,
|
| 117 |
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1"
|
| 118 |
},
|
| 119 |
"blimp_determiner_noun_agreement_with_adj_irregular_2": {
|
|
|
|
| 123 |
},
|
| 124 |
"blimp_determiner_noun_agreement_with_adjective_1": {
|
| 125 |
"acc,none": 0.98,
|
| 126 |
+
"acc_stderr,none": 0.004429403980178341,
|
| 127 |
"alias": " - blimp_determiner_noun_agreement_with_adjective_1"
|
| 128 |
},
|
| 129 |
"blimp_distractor_agreement_relational_noun": {
|
| 130 |
"acc,none": 0.926,
|
| 131 |
+
"acc_stderr,none": 0.008282064512704166,
|
| 132 |
"alias": " - blimp_distractor_agreement_relational_noun"
|
| 133 |
},
|
| 134 |
"blimp_distractor_agreement_relative_clause": {
|
| 135 |
+
"acc,none": 0.794,
|
| 136 |
+
"acc_stderr,none": 0.012795613612786558,
|
| 137 |
"alias": " - blimp_distractor_agreement_relative_clause"
|
| 138 |
},
|
| 139 |
"blimp_drop_argument": {
|
| 140 |
+
"acc,none": 0.772,
|
| 141 |
+
"acc_stderr,none": 0.013273740700804487,
|
| 142 |
"alias": " - blimp_drop_argument"
|
| 143 |
},
|
| 144 |
"blimp_ellipsis_n_bar_1": {
|
| 145 |
"acc,none": 0.81,
|
| 146 |
+
"acc_stderr,none": 0.01241185135481633,
|
| 147 |
"alias": " - blimp_ellipsis_n_bar_1"
|
| 148 |
},
|
| 149 |
"blimp_ellipsis_n_bar_2": {
|
| 150 |
+
"acc,none": 0.923,
|
| 151 |
+
"acc_stderr,none": 0.008434580140240625,
|
| 152 |
"alias": " - blimp_ellipsis_n_bar_2"
|
| 153 |
},
|
| 154 |
"blimp_existential_there_object_raising": {
|
| 155 |
"acc,none": 0.832,
|
| 156 |
+
"acc_stderr,none": 0.011828605831454262,
|
| 157 |
"alias": " - blimp_existential_there_object_raising"
|
| 158 |
},
|
| 159 |
"blimp_existential_there_quantifiers_1": {
|
| 160 |
"acc,none": 0.984,
|
| 161 |
+
"acc_stderr,none": 0.003969856390319419,
|
| 162 |
"alias": " - blimp_existential_there_quantifiers_1"
|
| 163 |
},
|
| 164 |
"blimp_existential_there_quantifiers_2": {
|
| 165 |
"acc,none": 0.431,
|
| 166 |
+
"acc_stderr,none": 0.015667944488173508,
|
| 167 |
"alias": " - blimp_existential_there_quantifiers_2"
|
| 168 |
},
|
| 169 |
"blimp_existential_there_subject_raising": {
|
| 170 |
"acc,none": 0.853,
|
| 171 |
+
"acc_stderr,none": 0.01120341539516033,
|
| 172 |
"alias": " - blimp_existential_there_subject_raising"
|
| 173 |
},
|
| 174 |
"blimp_expletive_it_object_raising": {
|
| 175 |
"acc,none": 0.795,
|
| 176 |
+
"acc_stderr,none": 0.012772554096113125,
|
| 177 |
"alias": " - blimp_expletive_it_object_raising"
|
| 178 |
},
|
| 179 |
"blimp_inchoative": {
|
| 180 |
"acc,none": 0.686,
|
| 181 |
+
"acc_stderr,none": 0.014683991951087966,
|
| 182 |
"alias": " - blimp_inchoative"
|
| 183 |
},
|
| 184 |
"blimp_intransitive": {
|
| 185 |
"acc,none": 0.851,
|
| 186 |
+
"acc_stderr,none": 0.01126614068463216,
|
| 187 |
"alias": " - blimp_intransitive"
|
| 188 |
},
|
| 189 |
"blimp_irregular_past_participle_adjectives": {
|
| 190 |
"acc,none": 0.939,
|
| 191 |
+
"acc_stderr,none": 0.007572076091557425,
|
| 192 |
"alias": " - blimp_irregular_past_participle_adjectives"
|
| 193 |
},
|
| 194 |
"blimp_irregular_past_participle_verbs": {
|
|
|
|
| 198 |
},
|
| 199 |
"blimp_irregular_plural_subject_verb_agreement_1": {
|
| 200 |
"acc,none": 0.937,
|
| 201 |
+
"acc_stderr,none": 0.007687007876286427,
|
| 202 |
"alias": " - blimp_irregular_plural_subject_verb_agreement_1"
|
| 203 |
},
|
| 204 |
"blimp_irregular_plural_subject_verb_agreement_2": {
|
| 205 |
"acc,none": 0.895,
|
| 206 |
+
"acc_stderr,none": 0.009698921026024952,
|
| 207 |
"alias": " - blimp_irregular_plural_subject_verb_agreement_2"
|
| 208 |
},
|
| 209 |
"blimp_left_branch_island_echo_question": {
|
| 210 |
"acc,none": 0.626,
|
| 211 |
+
"acc_stderr,none": 0.015308767369006363,
|
| 212 |
"alias": " - blimp_left_branch_island_echo_question"
|
| 213 |
},
|
| 214 |
"blimp_left_branch_island_simple_question": {
|
|
|
|
| 223 |
},
|
| 224 |
"blimp_npi_present_1": {
|
| 225 |
"acc,none": 0.608,
|
| 226 |
+
"acc_stderr,none": 0.015445859463771297,
|
| 227 |
"alias": " - blimp_npi_present_1"
|
| 228 |
},
|
| 229 |
"blimp_npi_present_2": {
|
| 230 |
"acc,none": 0.69,
|
| 231 |
+
"acc_stderr,none": 0.014632638658632895,
|
| 232 |
"alias": " - blimp_npi_present_2"
|
| 233 |
},
|
| 234 |
"blimp_only_npi_licensor_present": {
|
| 235 |
"acc,none": 0.937,
|
| 236 |
+
"acc_stderr,none": 0.007687007876286415,
|
| 237 |
"alias": " - blimp_only_npi_licensor_present"
|
| 238 |
},
|
| 239 |
"blimp_only_npi_scope": {
|
| 240 |
"acc,none": 0.86,
|
| 241 |
+
"acc_stderr,none": 0.010978183844357793,
|
| 242 |
"alias": " - blimp_only_npi_scope"
|
| 243 |
},
|
| 244 |
"blimp_passive_1": {
|
| 245 |
"acc,none": 0.898,
|
| 246 |
+
"acc_stderr,none": 0.009575368801653886,
|
| 247 |
"alias": " - blimp_passive_1"
|
| 248 |
},
|
| 249 |
"blimp_passive_2": {
|
| 250 |
"acc,none": 0.897,
|
| 251 |
+
"acc_stderr,none": 0.009616833339695804,
|
| 252 |
"alias": " - blimp_passive_2"
|
| 253 |
},
|
| 254 |
"blimp_principle_A_c_command": {
|
| 255 |
"acc,none": 0.801,
|
| 256 |
+
"acc_stderr,none": 0.012631649083099163,
|
| 257 |
"alias": " - blimp_principle_A_c_command"
|
| 258 |
},
|
| 259 |
"blimp_principle_A_case_1": {
|
|
|
|
| 263 |
},
|
| 264 |
"blimp_principle_A_case_2": {
|
| 265 |
"acc,none": 0.954,
|
| 266 |
+
"acc_stderr,none": 0.006627814717380713,
|
| 267 |
"alias": " - blimp_principle_A_case_2"
|
| 268 |
},
|
| 269 |
"blimp_principle_A_domain_1": {
|
| 270 |
"acc,none": 0.999,
|
| 271 |
+
"acc_stderr,none": 0.0010000000000000044,
|
| 272 |
"alias": " - blimp_principle_A_domain_1"
|
| 273 |
},
|
| 274 |
"blimp_principle_A_domain_2": {
|
| 275 |
"acc,none": 0.924,
|
| 276 |
+
"acc_stderr,none": 0.008384169266796394,
|
| 277 |
"alias": " - blimp_principle_A_domain_2"
|
| 278 |
},
|
| 279 |
"blimp_principle_A_domain_3": {
|
| 280 |
"acc,none": 0.805,
|
| 281 |
+
"acc_stderr,none": 0.012535235623319324,
|
| 282 |
"alias": " - blimp_principle_A_domain_3"
|
| 283 |
},
|
| 284 |
"blimp_principle_A_reconstruction": {
|
|
|
|
| 288 |
},
|
| 289 |
"blimp_regular_plural_subject_verb_agreement_1": {
|
| 290 |
"acc,none": 0.966,
|
| 291 |
+
"acc_stderr,none": 0.005733836139695435,
|
| 292 |
"alias": " - blimp_regular_plural_subject_verb_agreement_1"
|
| 293 |
},
|
| 294 |
"blimp_regular_plural_subject_verb_agreement_2": {
|
| 295 |
"acc,none": 0.915,
|
| 296 |
+
"acc_stderr,none": 0.008823426366942312,
|
| 297 |
"alias": " - blimp_regular_plural_subject_verb_agreement_2"
|
| 298 |
},
|
| 299 |
"blimp_sentential_negation_npi_licensor_present": {
|
| 300 |
"acc,none": 0.986,
|
| 301 |
+
"acc_stderr,none": 0.0037172325482565595,
|
| 302 |
"alias": " - blimp_sentential_negation_npi_licensor_present"
|
| 303 |
},
|
| 304 |
"blimp_sentential_negation_npi_scope": {
|
| 305 |
"acc,none": 0.731,
|
| 306 |
+
"acc_stderr,none": 0.014029819522568196,
|
| 307 |
"alias": " - blimp_sentential_negation_npi_scope"
|
| 308 |
},
|
| 309 |
"blimp_sentential_subject_island": {
|
| 310 |
"acc,none": 0.474,
|
| 311 |
+
"acc_stderr,none": 0.01579789775804276,
|
| 312 |
"alias": " - blimp_sentential_subject_island"
|
| 313 |
},
|
| 314 |
"blimp_superlative_quantifiers_1": {
|
|
|
|
| 318 |
},
|
| 319 |
"blimp_superlative_quantifiers_2": {
|
| 320 |
"acc,none": 0.96,
|
| 321 |
+
"acc_stderr,none": 0.006199874066337051,
|
| 322 |
"alias": " - blimp_superlative_quantifiers_2"
|
| 323 |
},
|
| 324 |
"blimp_tough_vs_raising_1": {
|
| 325 |
"acc,none": 0.636,
|
| 326 |
+
"acc_stderr,none": 0.015222868840522015,
|
| 327 |
"alias": " - blimp_tough_vs_raising_1"
|
| 328 |
},
|
| 329 |
"blimp_tough_vs_raising_2": {
|
| 330 |
"acc,none": 0.87,
|
| 331 |
+
"acc_stderr,none": 0.010640169792499354,
|
| 332 |
"alias": " - blimp_tough_vs_raising_2"
|
| 333 |
},
|
| 334 |
"blimp_transitive": {
|
|
|
|
| 338 |
},
|
| 339 |
"blimp_wh_island": {
|
| 340 |
"acc,none": 0.814,
|
| 341 |
+
"acc_stderr,none": 0.012310790208412803,
|
| 342 |
"alias": " - blimp_wh_island"
|
| 343 |
},
|
| 344 |
"blimp_wh_questions_object_gap": {
|
|
|
|
| 348 |
},
|
| 349 |
"blimp_wh_questions_subject_gap": {
|
| 350 |
"acc,none": 0.937,
|
| 351 |
+
"acc_stderr,none": 0.007687007876286408,
|
| 352 |
"alias": " - blimp_wh_questions_subject_gap"
|
| 353 |
},
|
| 354 |
"blimp_wh_questions_subject_gap_long_distance": {
|
| 355 |
"acc,none": 0.922,
|
| 356 |
+
"acc_stderr,none": 0.008484573530118581,
|
| 357 |
"alias": " - blimp_wh_questions_subject_gap_long_distance"
|
| 358 |
},
|
| 359 |
"blimp_wh_vs_that_no_gap": {
|
| 360 |
"acc,none": 0.981,
|
| 361 |
+
"acc_stderr,none": 0.0043194510829106135,
|
| 362 |
"alias": " - blimp_wh_vs_that_no_gap"
|
| 363 |
},
|
| 364 |
"blimp_wh_vs_that_no_gap_long_distance": {
|
| 365 |
"acc,none": 0.967,
|
| 366 |
+
"acc_stderr,none": 0.005651808820452372,
|
| 367 |
"alias": " - blimp_wh_vs_that_no_gap_long_distance"
|
| 368 |
},
|
| 369 |
"blimp_wh_vs_that_with_gap": {
|
| 370 |
"acc,none": 0.405,
|
| 371 |
+
"acc_stderr,none": 0.015531136990453045,
|
| 372 |
"alias": " - blimp_wh_vs_that_with_gap"
|
| 373 |
},
|
| 374 |
"blimp_wh_vs_that_with_gap_long_distance": {
|
| 375 |
"acc,none": 0.359,
|
| 376 |
+
"acc_stderr,none": 0.015177264224798596,
|
| 377 |
"alias": " - blimp_wh_vs_that_with_gap_long_distance"
|
| 378 |
},
|
| 379 |
"lambada_openai": {
|
| 380 |
+
"perplexity,none": 3.3763932503864287,
|
| 381 |
+
"perplexity_stderr,none": 0.06622884189802866,
|
| 382 |
+
"acc,none": 0.74345041723268,
|
| 383 |
+
"acc_stderr,none": 0.006084483727167678,
|
| 384 |
"alias": " - lambada_openai"
|
| 385 |
},
|
| 386 |
"logiqa": {
|
| 387 |
"acc,none": 0.2457757296466974,
|
| 388 |
+
"acc_stderr,none": 0.016887410894296927,
|
| 389 |
"acc_norm,none": 0.28417818740399386,
|
| 390 |
+
"acc_norm_stderr,none": 0.01769054268019079,
|
| 391 |
"alias": " - logiqa"
|
| 392 |
},
|
| 393 |
"mmlu": {
|
| 394 |
+
"acc,none": 0.33114940891610883,
|
| 395 |
+
"acc_stderr,none": 0.06038941147971378,
|
| 396 |
"alias": " - mmlu"
|
| 397 |
},
|
| 398 |
"mmlu_humanities": {
|
| 399 |
"alias": " - humanities",
|
| 400 |
+
"acc,none": 0.32582359192348564,
|
| 401 |
+
"acc_stderr,none": 0.05651754471436536
|
| 402 |
},
|
| 403 |
"mmlu_formal_logic": {
|
| 404 |
"alias": " - formal_logic",
|
|
|
|
| 417 |
},
|
| 418 |
"mmlu_high_school_world_history": {
|
| 419 |
"alias": " - high_school_world_history",
|
| 420 |
+
"acc,none": 0.43037974683544306,
|
| 421 |
+
"acc_stderr,none": 0.03223017195937598
|
| 422 |
},
|
| 423 |
"mmlu_international_law": {
|
| 424 |
"alias": " - international_law",
|
|
|
|
| 428 |
"mmlu_jurisprudence": {
|
| 429 |
"alias": " - jurisprudence",
|
| 430 |
"acc,none": 0.32407407407407407,
|
| 431 |
+
"acc_stderr,none": 0.04524596007030048
|
| 432 |
},
|
| 433 |
"mmlu_logical_fallacies": {
|
| 434 |
"alias": " - logical_fallacies",
|
|
|
|
| 438 |
"mmlu_moral_disputes": {
|
| 439 |
"alias": " - moral_disputes",
|
| 440 |
"acc,none": 0.315028901734104,
|
| 441 |
+
"acc_stderr,none": 0.025009313790069713
|
| 442 |
},
|
| 443 |
"mmlu_moral_scenarios": {
|
| 444 |
"alias": " - moral_scenarios",
|
| 445 |
"acc,none": 0.2346368715083799,
|
| 446 |
+
"acc_stderr,none": 0.014173044098303667
|
| 447 |
},
|
| 448 |
"mmlu_philosophy": {
|
| 449 |
"alias": " - philosophy",
|
| 450 |
"acc,none": 0.3987138263665595,
|
| 451 |
+
"acc_stderr,none": 0.027809322585774503
|
| 452 |
},
|
| 453 |
"mmlu_prehistory": {
|
| 454 |
"alias": " - prehistory",
|
| 455 |
+
"acc,none": 0.36419753086419754,
|
| 456 |
+
"acc_stderr,none": 0.026774929899722324
|
| 457 |
},
|
| 458 |
"mmlu_professional_law": {
|
| 459 |
"alias": " - professional_law",
|
| 460 |
"acc,none": 0.3011734028683181,
|
| 461 |
+
"acc_stderr,none": 0.011717148751648431
|
| 462 |
},
|
| 463 |
"mmlu_world_religions": {
|
| 464 |
"alias": " - world_religions",
|
| 465 |
"acc,none": 0.391812865497076,
|
| 466 |
+
"acc_stderr,none": 0.03743979825926398
|
| 467 |
},
|
| 468 |
"mmlu_other": {
|
| 469 |
"alias": " - other",
|
| 470 |
"acc,none": 0.36594785967170906,
|
| 471 |
+
"acc_stderr,none": 0.053480370251406284
|
| 472 |
},
|
| 473 |
"mmlu_business_ethics": {
|
| 474 |
"alias": " - business_ethics",
|
| 475 |
"acc,none": 0.33,
|
| 476 |
+
"acc_stderr,none": 0.04725815626252604
|
| 477 |
},
|
| 478 |
"mmlu_clinical_knowledge": {
|
| 479 |
"alias": " - clinical_knowledge",
|
| 480 |
"acc,none": 0.37358490566037733,
|
| 481 |
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| 1 |
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{
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| 3 |
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{
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| 18 |
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| 19 |
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"doc_to_target": "def doc_to_target(doc: Dict) -> List[int]:\n \"\"\"Return list of indices of accepted answers (all of them).\"\"\"\n remaining = _remove_prefixes(doc[\"answers\"])\n return list(range(len(remaining)))\n",
|
| 20 |
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"doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return all of the accepted answers as choices.\"\"\"\n return _remove_prefixes(doc[\"answers\"])\n",
|
| 21 |
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"description": "",
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| 22 |
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"target_delimiter": " ",
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| 23 |
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| 24 |
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| 25 |
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{
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| 26 |
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"metric": "exact_match",
|
| 27 |
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"aggregation": "mean",
|
| 28 |
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"higher_is_better": true
|
| 29 |
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}
|
| 30 |
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],
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| 31 |
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|
| 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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}
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| 38 |
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}
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| 39 |
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},
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| 40 |
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"versions": {
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| 41 |
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"webqs": 2.0
|
| 42 |
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},
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| 43 |
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},
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| 46 |
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"model": "hf",
|
| 48 |
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"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
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| 49 |
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| 50 |
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| 52 |
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| 53 |
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| 59 |
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"git_hash": "8281e96"
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}
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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|
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version https://git-lfs.github.com/spec/v1
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size 43200
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,61 @@
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|
|
|
|
|
| 1 |
+
{
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| 2 |
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"results": {
|
| 3 |
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"wic": {
|
| 4 |
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"acc,none": 0.5783699059561128,
|
| 5 |
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"acc_stderr,none": 0.019565859392130996,
|
| 6 |
+
"alias": "wic"
|
| 7 |
+
}
|
| 8 |
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},
|
| 9 |
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"configs": {
|
| 10 |
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"wic": {
|
| 11 |
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"task": "wic",
|
| 12 |
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"group": [
|
| 13 |
+
"super-glue-lm-eval-v1"
|
| 14 |
+
],
|
| 15 |
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|
| 16 |
+
"dataset_name": "wic",
|
| 17 |
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"training_split": "train",
|
| 18 |
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"validation_split": "validation",
|
| 19 |
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"doc_to_text": "Sentence 1: {{sentence1}}\nSentence 2: {{sentence2}}\nQuestion: Is the word '{{sentence1[start1:end1]}}' used in the same way in the two sentences above?\nAnswer:",
|
| 20 |
+
"doc_to_target": "label",
|
| 21 |
+
"doc_to_choice": [
|
| 22 |
+
"no",
|
| 23 |
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"yes"
|
| 24 |
+
],
|
| 25 |
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"description": "",
|
| 26 |
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"target_delimiter": " ",
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| 27 |
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"fewshot_delimiter": "\n\n",
|
| 28 |
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"metric_list": [
|
| 29 |
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{
|
| 30 |
+
"metric": "acc"
|
| 31 |
+
}
|
| 32 |
+
],
|
| 33 |
+
"output_type": "multiple_choice",
|
| 34 |
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"repeats": 1,
|
| 35 |
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"should_decontaminate": false,
|
| 36 |
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"metadata": {
|
| 37 |
+
"version": 1.0
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
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},
|
| 41 |
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"versions": {
|
| 42 |
+
"wic": 1.0
|
| 43 |
+
},
|
| 44 |
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"n-shot": {
|
| 45 |
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"wic": 0
|
| 46 |
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},
|
| 47 |
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"config": {
|
| 48 |
+
"model": "hf",
|
| 49 |
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"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 50 |
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"batch_size": "auto",
|
| 51 |
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| 52 |
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64
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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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"git_hash": "8281e96"
|
| 61 |
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}
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
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| 1 |
+
{
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| 2 |
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"results": {
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| 3 |
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"wikitext": {
|
| 4 |
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"word_perplexity,none": 10.428191022549841,
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| 5 |
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"word_perplexity_stderr,none": "N/A",
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"byte_perplexity,none": 1.5502800869079052,
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"byte_perplexity_stderr,none": "N/A",
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"bits_per_byte,none": 0.6325288887179478,
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| 9 |
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"bits_per_byte_stderr,none": "N/A",
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| 10 |
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"alias": "wikitext"
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| 11 |
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}
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| 12 |
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| 13 |
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"configs": {
|
| 14 |
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"wikitext": {
|
| 15 |
+
"task": "wikitext",
|
| 16 |
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"dataset_path": "EleutherAI/wikitext_document_level",
|
| 17 |
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"dataset_name": "wikitext-2-raw-v1",
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| 18 |
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"training_split": "train",
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| 19 |
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| 20 |
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| 21 |
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|
| 22 |
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"doc_to_target": "def wikitext_detokenizer(doc):\n string = doc[\"page\"]\n # contractions\n string = string.replace(\"s '\", \"s'\")\n string = re.sub(r\"/' [0-9]/\", r\"/'[0-9]/\", string)\n # number separators\n string = string.replace(\" @-@ \", \"-\")\n string = string.replace(\" @,@ \", \",\")\n string = string.replace(\" @.@ \", \".\")\n # punctuation\n string = string.replace(\" : \", \": \")\n string = string.replace(\" ; \", \"; \")\n string = string.replace(\" . \", \". \")\n string = string.replace(\" ! \", \"! \")\n string = string.replace(\" ? \", \"? \")\n string = string.replace(\" , \", \", \")\n # double brackets\n string = re.sub(r\"\\(\\s*([^\\)]*?)\\s*\\)\", r\"(\\1)\", string)\n string = re.sub(r\"\\[\\s*([^\\]]*?)\\s*\\]\", r\"[\\1]\", string)\n string = re.sub(r\"{\\s*([^}]*?)\\s*}\", r\"{\\1}\", string)\n string = re.sub(r\"\\\"\\s*([^\\\"]*?)\\s*\\\"\", r'\"\\1\"', string)\n string = re.sub(r\"'\\s*([^']*?)\\s*'\", r\"'\\1'\", string)\n # miscellaneous\n string = string.replace(\"= = = =\", \"====\")\n string = string.replace(\"= = =\", \"===\")\n string = string.replace(\"= =\", \"==\")\n string = string.replace(\" \" + chr(176) + \" \", chr(176))\n string = string.replace(\" \\n\", \"\\n\")\n string = string.replace(\"\\n \", \"\\n\")\n string = string.replace(\" N \", \" 1 \")\n string = string.replace(\" 's\", \"'s\")\n\n return string\n",
|
| 23 |
+
"process_results": "def process_results(doc, results):\n (loglikelihood,) = results\n # IMPORTANT: wikitext counts number of words in *original doc before detokenization*\n _words = len(re.split(r\"\\s+\", doc[\"page\"]))\n _bytes = len(doc[\"page\"].encode(\"utf-8\"))\n return {\n \"word_perplexity\": (loglikelihood, _words),\n \"byte_perplexity\": (loglikelihood, _bytes),\n \"bits_per_byte\": (loglikelihood, _bytes),\n }\n",
|
| 24 |
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"description": "",
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| 25 |
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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| 27 |
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"metric_list": [
|
| 28 |
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{
|
| 29 |
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"metric": "word_perplexity"
|
| 30 |
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},
|
| 31 |
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{
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| 32 |
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"metric": "byte_perplexity"
|
| 33 |
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},
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| 34 |
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{
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| 35 |
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"metric": "bits_per_byte"
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| 36 |
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| 37 |
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],
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| 38 |
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"output_type": "loglikelihood_rolling",
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| 39 |
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|
| 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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| 47 |
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"versions": {
|
| 48 |
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| 49 |
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| 50 |
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|
| 51 |
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| 52 |
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| 54 |
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| 55 |
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|
| 63 |
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},
|
| 64 |
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"git_hash": "8281e96"
|
| 65 |
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}
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 50220
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,59 @@
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| 1 |
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{
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| 2 |
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"results": {
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| 3 |
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"wnli": {
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| 4 |
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"acc,none": 0.43661971830985913,
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| 5 |
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"acc_stderr,none": 0.0592793555841297,
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| 6 |
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"alias": "wnli"
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| 7 |
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}
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| 8 |
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},
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| 9 |
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"configs": {
|
| 10 |
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"wnli": {
|
| 11 |
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"task": "wnli",
|
| 12 |
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"group": "glue",
|
| 13 |
+
"dataset_path": "glue",
|
| 14 |
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"dataset_name": "wnli",
|
| 15 |
+
"training_split": "train",
|
| 16 |
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"validation_split": "validation",
|
| 17 |
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"doc_to_text": "{{sentence1}}\nQuestion: {{sentence2}} True or False?\nAnswer:",
|
| 18 |
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"doc_to_target": "label",
|
| 19 |
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"doc_to_choice": [
|
| 20 |
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"False",
|
| 21 |
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"True"
|
| 22 |
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],
|
| 23 |
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"description": "",
|
| 24 |
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"target_delimiter": " ",
|
| 25 |
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"fewshot_delimiter": "\n\n",
|
| 26 |
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"metric_list": [
|
| 27 |
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{
|
| 28 |
+
"metric": "acc"
|
| 29 |
+
}
|
| 30 |
+
],
|
| 31 |
+
"output_type": "multiple_choice",
|
| 32 |
+
"repeats": 1,
|
| 33 |
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"should_decontaminate": false,
|
| 34 |
+
"metadata": {
|
| 35 |
+
"version": 2.0
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"versions": {
|
| 40 |
+
"wnli": 2.0
|
| 41 |
+
},
|
| 42 |
+
"n-shot": {
|
| 43 |
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"wnli": 0
|
| 44 |
+
},
|
| 45 |
+
"config": {
|
| 46 |
+
"model": "hf",
|
| 47 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 48 |
+
"batch_size": "auto",
|
| 49 |
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"batch_sizes": [
|
| 50 |
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64
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| 51 |
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],
|
| 52 |
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"device": null,
|
| 53 |
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"use_cache": null,
|
| 54 |
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"limit": null,
|
| 55 |
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"bootstrap_iters": 100000,
|
| 56 |
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"gen_kwargs": null
|
| 57 |
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},
|
| 58 |
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"git_hash": "8281e96"
|
| 59 |
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}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 43808
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,61 @@
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| 1 |
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{
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| 2 |
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"results": {
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| 3 |
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"wsc": {
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| 4 |
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"acc,none": 0.5,
|
| 5 |
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"acc_stderr,none": 0.04926646390821466,
|
| 6 |
+
"alias": "wsc"
|
| 7 |
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}
|
| 8 |
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},
|
| 9 |
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"configs": {
|
| 10 |
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"wsc": {
|
| 11 |
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"task": "wsc",
|
| 12 |
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"group": [
|
| 13 |
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"super-glue-lm-eval-v1"
|
| 14 |
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],
|
| 15 |
+
"dataset_path": "super_glue",
|
| 16 |
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"dataset_name": "wsc.fixed",
|
| 17 |
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"training_split": "train",
|
| 18 |
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"validation_split": "validation",
|
| 19 |
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"doc_to_text": "def default_doc_to_text(x):\n raw_passage = x[\"text\"]\n # NOTE: HuggingFace span indices are word-based not character-based.\n pre = \" \".join(raw_passage.split()[: x[\"span2_index\"]])\n post = raw_passage[len(pre) + len(x[\"span2_text\"]) + 1 :]\n passage = general_detokenize(pre + \" *{}*\".format(x[\"span2_text\"]) + post)\n noun = x[\"span1_text\"]\n pronoun = x[\"span2_text\"]\n text = (\n f\"Passage: {passage}\\n\"\n + f'Question: In the passage above, does the pronoun \"*{pronoun}*\" refer to \"*{noun}*\"?\\n'\n + \"Answer:\"\n )\n return text\n",
|
| 20 |
+
"doc_to_target": "label",
|
| 21 |
+
"doc_to_choice": [
|
| 22 |
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"no",
|
| 23 |
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"yes"
|
| 24 |
+
],
|
| 25 |
+
"description": "",
|
| 26 |
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"target_delimiter": " ",
|
| 27 |
+
"fewshot_delimiter": "\n\n",
|
| 28 |
+
"metric_list": [
|
| 29 |
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{
|
| 30 |
+
"metric": "acc"
|
| 31 |
+
}
|
| 32 |
+
],
|
| 33 |
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"output_type": "multiple_choice",
|
| 34 |
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"repeats": 1,
|
| 35 |
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"should_decontaminate": false,
|
| 36 |
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"metadata": {
|
| 37 |
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"version": 1.0
|
| 38 |
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}
|
| 39 |
+
}
|
| 40 |
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},
|
| 41 |
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"versions": {
|
| 42 |
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"wsc": 1.0
|
| 43 |
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},
|
| 44 |
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"n-shot": {
|
| 45 |
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"wsc": 0
|
| 46 |
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},
|
| 47 |
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"config": {
|
| 48 |
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"model": "hf",
|
| 49 |
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"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 50 |
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"batch_size": "auto",
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| 51 |
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"batch_sizes": [
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| 52 |
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64
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| 53 |
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],
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| 54 |
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"device": null,
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| 55 |
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| 56 |
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| 57 |
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"bootstrap_iters": 100000,
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| 58 |
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| 59 |
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},
|
| 60 |
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"git_hash": "8281e96"
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| 61 |
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}
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lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 44144
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