Commit
·
1436862
1
Parent(s):
0489f47
initial test results
Browse files- lm-eval-output/EleutherAI/pythia-6.9b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +252 -0
- lm-eval-output/EleutherAI/pythia-6.9b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/pythia-6.9b/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +283 -0
- lm-eval-output/EleutherAI/pythia-6.9b/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/pythia-6.9b/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +390 -0
- lm-eval-output/EleutherAI/pythia-6.9b/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/pythia-6.9b/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +548 -0
- lm-eval-output/EleutherAI/pythia-6.9b/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/pythia-6.9b/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +423 -0
- lm-eval-output/EleutherAI/pythia-6.9b/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/pythia-6.9b/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +248 -0
- lm-eval-output/EleutherAI/pythia-6.9b/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/allenai/OLMo-7B/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +33 -31
- lm-eval-output/allenai/OLMo-7B/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/allenai/OLMo-7B/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +21 -19
- lm-eval-output/allenai/OLMo-7B/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/allenai/OLMo-7B/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +37 -35
- lm-eval-output/allenai/OLMo-7B/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/allenai/OLMo-7B/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +39 -37
- lm-eval-output/allenai/OLMo-7B/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/allenai/OLMo-7B/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +30 -28
- lm-eval-output/allenai/OLMo-7B/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/allenai/OLMo-7B/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +19 -17
- lm-eval-output/allenai/OLMo-7B/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
lm-eval-output/EleutherAI/pythia-6.9b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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|
| 1 |
+
{
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| 2 |
+
"results": {
|
| 3 |
+
"lambada_multilingual": {
|
| 4 |
+
"perplexity,none": 85.61923274283521,
|
| 5 |
+
"perplexity_stderr,none": 24.934559721383756,
|
| 6 |
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"acc,none": 0.36743644478944304,
|
| 7 |
+
"acc_stderr,none": 0.06807273135902886,
|
| 8 |
+
"alias": "lambada_multilingual"
|
| 9 |
+
},
|
| 10 |
+
"lambada_openai_mt_de": {
|
| 11 |
+
"perplexity,none": 111.70921565884652,
|
| 12 |
+
"perplexity_stderr,none": 6.7130825671387395,
|
| 13 |
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"acc,none": 0.2889578886085775,
|
| 14 |
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"acc_stderr,none": 0.006315053173776882,
|
| 15 |
+
"alias": " - lambada_openai_mt_de"
|
| 16 |
+
},
|
| 17 |
+
"lambada_openai_mt_en": {
|
| 18 |
+
"perplexity,none": 5.776225342797313,
|
| 19 |
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"perplexity_stderr,none": 0.14023382949276372,
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| 20 |
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"acc,none": 0.6037259848631865,
|
| 21 |
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"acc_stderr,none": 0.006814434238262819,
|
| 22 |
+
"alias": " - lambada_openai_mt_en"
|
| 23 |
+
},
|
| 24 |
+
"lambada_openai_mt_es": {
|
| 25 |
+
"perplexity,none": 115.041411283382,
|
| 26 |
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"perplexity_stderr,none": 6.4558637110495605,
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| 27 |
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"acc,none": 0.2848825926644673,
|
| 28 |
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"acc_stderr,none": 0.006288306538252616,
|
| 29 |
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"alias": " - lambada_openai_mt_es"
|
| 30 |
+
},
|
| 31 |
+
"lambada_openai_mt_fr": {
|
| 32 |
+
"perplexity,none": 79.00193299360477,
|
| 33 |
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"perplexity_stderr,none": 4.502315563797141,
|
| 34 |
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"acc,none": 0.34892295750048513,
|
| 35 |
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"acc_stderr,none": 0.006640381581831473,
|
| 36 |
+
"alias": " - lambada_openai_mt_fr"
|
| 37 |
+
},
|
| 38 |
+
"lambada_openai_mt_it": {
|
| 39 |
+
"perplexity,none": 116.56737843554541,
|
| 40 |
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"perplexity_stderr,none": 7.125874424310032,
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| 41 |
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"acc,none": 0.31069280031049873,
|
| 42 |
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"acc_stderr,none": 0.00644739198299003,
|
| 43 |
+
"alias": " - lambada_openai_mt_it"
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
"groups": {
|
| 47 |
+
"lambada_multilingual": {
|
| 48 |
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"perplexity,none": 85.61923274283521,
|
| 49 |
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"perplexity_stderr,none": 24.934559721383756,
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| 50 |
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"acc,none": 0.36743644478944304,
|
| 51 |
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"acc_stderr,none": 0.06807273135902886,
|
| 52 |
+
"alias": "lambada_multilingual"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"configs": {
|
| 56 |
+
"lambada_openai_mt_de": {
|
| 57 |
+
"task": "lambada_openai_mt_de",
|
| 58 |
+
"group": [
|
| 59 |
+
"lambada_multilingual"
|
| 60 |
+
],
|
| 61 |
+
"dataset_path": "EleutherAI/lambada_openai",
|
| 62 |
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"dataset_name": "de",
|
| 63 |
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"test_split": "test",
|
| 64 |
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"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
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| 65 |
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"doc_to_target": "{{' '+text.split(' ')[-1]}}",
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| 66 |
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"description": "",
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| 67 |
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"target_delimiter": " ",
|
| 68 |
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"fewshot_delimiter": "\n\n",
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| 69 |
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"metric_list": [
|
| 70 |
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{
|
| 71 |
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"metric": "perplexity",
|
| 72 |
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"aggregation": "perplexity",
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| 73 |
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"higher_is_better": false
|
| 74 |
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},
|
| 75 |
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{
|
| 76 |
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"metric": "acc",
|
| 77 |
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"aggregation": "mean",
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| 78 |
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"higher_is_better": true
|
| 79 |
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}
|
| 80 |
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],
|
| 81 |
+
"output_type": "loglikelihood",
|
| 82 |
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"repeats": 1,
|
| 83 |
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"should_decontaminate": true,
|
| 84 |
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"doc_to_decontamination_query": "{{text}}",
|
| 85 |
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"metadata": {
|
| 86 |
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"version": 1.0
|
| 87 |
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}
|
| 88 |
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},
|
| 89 |
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"lambada_openai_mt_en": {
|
| 90 |
+
"task": "lambada_openai_mt_en",
|
| 91 |
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"group": [
|
| 92 |
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"lambada_multilingual"
|
| 93 |
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],
|
| 94 |
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"dataset_path": "EleutherAI/lambada_openai",
|
| 95 |
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"dataset_name": "en",
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| 96 |
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"test_split": "test",
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| 97 |
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"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
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| 98 |
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"doc_to_target": "{{' '+text.split(' ')[-1]}}",
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| 99 |
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"description": "",
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| 100 |
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"target_delimiter": " ",
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| 101 |
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"fewshot_delimiter": "\n\n",
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| 102 |
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"metric_list": [
|
| 103 |
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{
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| 104 |
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"metric": "perplexity",
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| 105 |
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"aggregation": "perplexity",
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| 106 |
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"higher_is_better": false
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| 107 |
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},
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| 108 |
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{
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| 109 |
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"metric": "acc",
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| 110 |
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"aggregation": "mean",
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| 111 |
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"higher_is_better": true
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| 112 |
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}
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| 113 |
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],
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| 114 |
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"output_type": "loglikelihood",
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| 115 |
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"repeats": 1,
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| 116 |
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"should_decontaminate": true,
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| 117 |
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"doc_to_decontamination_query": "{{text}}",
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| 118 |
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"metadata": {
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| 119 |
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"version": 1.0
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| 120 |
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}
|
| 121 |
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},
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| 122 |
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"lambada_openai_mt_es": {
|
| 123 |
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"task": "lambada_openai_mt_es",
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| 124 |
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"group": [
|
| 125 |
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"lambada_multilingual"
|
| 126 |
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],
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| 127 |
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"dataset_path": "EleutherAI/lambada_openai",
|
| 128 |
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"dataset_name": "es",
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| 129 |
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"test_split": "test",
|
| 130 |
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"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
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| 131 |
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"doc_to_target": "{{' '+text.split(' ')[-1]}}",
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| 132 |
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"description": "",
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| 133 |
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"target_delimiter": " ",
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| 134 |
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"fewshot_delimiter": "\n\n",
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| 135 |
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"metric_list": [
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| 136 |
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{
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| 137 |
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"metric": "perplexity",
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| 138 |
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| 139 |
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| 140 |
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},
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| 141 |
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{
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| 142 |
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"output_type": "loglikelihood",
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| 150 |
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"doc_to_decontamination_query": "{{text}}",
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| 151 |
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"metadata": {
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| 152 |
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"version": 1.0
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| 153 |
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}
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| 154 |
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},
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| 155 |
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"lambada_openai_mt_fr": {
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| 156 |
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"task": "lambada_openai_mt_fr",
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| 157 |
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"group": [
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| 158 |
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"lambada_multilingual"
|
| 159 |
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],
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| 160 |
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"dataset_path": "EleutherAI/lambada_openai",
|
| 161 |
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"dataset_name": "fr",
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| 162 |
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"test_split": "test",
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| 163 |
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"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
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| 164 |
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"doc_to_target": "{{' '+text.split(' ')[-1]}}",
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| 165 |
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"description": "",
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| 166 |
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"target_delimiter": " ",
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| 167 |
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"fewshot_delimiter": "\n\n",
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| 168 |
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"metric_list": [
|
| 169 |
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{
|
| 170 |
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"metric": "perplexity",
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| 171 |
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"aggregation": "perplexity",
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| 172 |
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"higher_is_better": false
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| 173 |
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},
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| 174 |
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{
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| 175 |
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"metric": "acc",
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| 176 |
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"aggregation": "mean",
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| 177 |
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| 178 |
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| 179 |
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],
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| 180 |
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"output_type": "loglikelihood",
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| 181 |
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"repeats": 1,
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| 182 |
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"should_decontaminate": true,
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| 183 |
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"doc_to_decontamination_query": "{{text}}",
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| 184 |
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"metadata": {
|
| 185 |
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"version": 1.0
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| 186 |
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}
|
| 187 |
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},
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| 188 |
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"lambada_openai_mt_it": {
|
| 189 |
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"task": "lambada_openai_mt_it",
|
| 190 |
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"group": [
|
| 191 |
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"lambada_multilingual"
|
| 192 |
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],
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| 193 |
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"dataset_path": "EleutherAI/lambada_openai",
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| 194 |
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"dataset_name": "it",
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| 195 |
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"test_split": "test",
|
| 196 |
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"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
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lm-eval-output/EleutherAI/pythia-6.9b/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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|
| 1 |
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{
|
| 2 |
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"results": {
|
| 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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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
| 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 |
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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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| 45 |
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| 46 |
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| 47 |
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| 48 |
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|
| 49 |
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|
| 50 |
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| 51 |
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|
| 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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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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"doc_to_choice": "{{[sentence1+\", 맞죠? 예, \"+sentence2, sentence1+\", 맞죠? 아니요, \"+sentence2]}}",
|
| 203 |
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| 204 |
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|
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|
| 206 |
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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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|
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|
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|
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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"task": "paws_zh",
|
| 222 |
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"group": "pawsx",
|
| 223 |
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"dataset_path": "paws-x",
|
| 224 |
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|
| 225 |
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|
| 226 |
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|
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|
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|
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|
| 235 |
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{
|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
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|
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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"versions": {
|
| 250 |
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|
| 251 |
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|
| 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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|
| 257 |
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"pawsx": "N/A"
|
| 258 |
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},
|
| 259 |
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|
| 260 |
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|
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|
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|
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|
| 264 |
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|
| 265 |
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|
| 266 |
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|
| 267 |
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"pawsx": 0
|
| 268 |
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},
|
| 269 |
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"config": {
|
| 270 |
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"model": "hf",
|
| 271 |
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"model_args": "pretrained=EleutherAI/pythia-6.9b,dtype=bfloat16,trust_remote_code=True",
|
| 272 |
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"batch_size": "auto",
|
| 273 |
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"batch_sizes": [
|
| 274 |
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|
| 275 |
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|
| 276 |
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|
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|
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|
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|
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|
| 281 |
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},
|
| 282 |
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"git_hash": "62513ca"
|
| 283 |
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}
|
lm-eval-output/EleutherAI/pythia-6.9b/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b0bfaec54a85a1853a31d1481440c21368bc9b18cccb8e05c4810bdc8b3f85f
|
| 3 |
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size 35601
|
lm-eval-output/EleutherAI/pythia-6.9b/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,390 @@
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"xcopa": {
|
| 4 |
+
"acc,none": 0.5405454545454547,
|
| 5 |
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"acc_stderr,none": 0.029688555203892242,
|
| 6 |
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"alias": "xcopa"
|
| 7 |
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},
|
| 8 |
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"xcopa_et": {
|
| 9 |
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"acc,none": 0.5,
|
| 10 |
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"acc_stderr,none": 0.022383074051792257,
|
| 11 |
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"alias": " - xcopa_et"
|
| 12 |
+
},
|
| 13 |
+
"xcopa_ht": {
|
| 14 |
+
"acc,none": 0.532,
|
| 15 |
+
"acc_stderr,none": 0.022337186479044296,
|
| 16 |
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"alias": " - xcopa_ht"
|
| 17 |
+
},
|
| 18 |
+
"xcopa_id": {
|
| 19 |
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"acc,none": 0.564,
|
| 20 |
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"acc_stderr,none": 0.0221989546414768,
|
| 21 |
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"alias": " - xcopa_id"
|
| 22 |
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},
|
| 23 |
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"xcopa_it": {
|
| 24 |
+
"acc,none": 0.566,
|
| 25 |
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"acc_stderr,none": 0.022187215803029008,
|
| 26 |
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"alias": " - xcopa_it"
|
| 27 |
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},
|
| 28 |
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"xcopa_qu": {
|
| 29 |
+
"acc,none": 0.506,
|
| 30 |
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"acc_stderr,none": 0.022381462412439324,
|
| 31 |
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"alias": " - xcopa_qu"
|
| 32 |
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},
|
| 33 |
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"xcopa_sw": {
|
| 34 |
+
"acc,none": 0.54,
|
| 35 |
+
"acc_stderr,none": 0.022311333245289663,
|
| 36 |
+
"alias": " - xcopa_sw"
|
| 37 |
+
},
|
| 38 |
+
"xcopa_ta": {
|
| 39 |
+
"acc,none": 0.516,
|
| 40 |
+
"acc_stderr,none": 0.0223716109825804,
|
| 41 |
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"alias": " - xcopa_ta"
|
| 42 |
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},
|
| 43 |
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"xcopa_th": {
|
| 44 |
+
"acc,none": 0.574,
|
| 45 |
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"acc_stderr,none": 0.022136577335085637,
|
| 46 |
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"alias": " - xcopa_th"
|
| 47 |
+
},
|
| 48 |
+
"xcopa_tr": {
|
| 49 |
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"acc,none": 0.53,
|
| 50 |
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"acc_stderr,none": 0.022342748192502843,
|
| 51 |
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"alias": " - xcopa_tr"
|
| 52 |
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},
|
| 53 |
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"xcopa_vi": {
|
| 54 |
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"acc,none": 0.54,
|
| 55 |
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"acc_stderr,none": 0.022311333245289666,
|
| 56 |
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"alias": " - xcopa_vi"
|
| 57 |
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},
|
| 58 |
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"xcopa_zh": {
|
| 59 |
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"acc,none": 0.578,
|
| 60 |
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"acc_stderr,none": 0.022109039310618556,
|
| 61 |
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"alias": " - xcopa_zh"
|
| 62 |
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}
|
| 63 |
+
},
|
| 64 |
+
"groups": {
|
| 65 |
+
"xcopa": {
|
| 66 |
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"acc,none": 0.5405454545454547,
|
| 67 |
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"acc_stderr,none": 0.029688555203892242,
|
| 68 |
+
"alias": "xcopa"
|
| 69 |
+
}
|
| 70 |
+
},
|
| 71 |
+
"configs": {
|
| 72 |
+
"xcopa_et": {
|
| 73 |
+
"task": "xcopa_et",
|
| 74 |
+
"group": "xcopa",
|
| 75 |
+
"dataset_path": "xcopa",
|
| 76 |
+
"dataset_name": "et",
|
| 77 |
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"validation_split": "validation",
|
| 78 |
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"test_split": "test",
|
| 79 |
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f49f0751d00>, connector={'cause': 'sest', 'effect': 'seetõttu'})",
|
| 80 |
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"doc_to_target": "label",
|
| 81 |
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
| 82 |
+
"description": "",
|
| 83 |
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"target_delimiter": " ",
|
| 84 |
+
"fewshot_delimiter": "\n\n",
|
| 85 |
+
"metric_list": [
|
| 86 |
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{
|
| 87 |
+
"metric": "acc"
|
| 88 |
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}
|
| 89 |
+
],
|
| 90 |
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"output_type": "multiple_choice",
|
| 91 |
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"repeats": 1,
|
| 92 |
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"should_decontaminate": false,
|
| 93 |
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"metadata": {
|
| 94 |
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"version": 1.0
|
| 95 |
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}
|
| 96 |
+
},
|
| 97 |
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"xcopa_ht": {
|
| 98 |
+
"task": "xcopa_ht",
|
| 99 |
+
"group": "xcopa",
|
| 100 |
+
"dataset_path": "xcopa",
|
| 101 |
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"dataset_name": "ht",
|
| 102 |
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"validation_split": "validation",
|
| 103 |
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"test_split": "test",
|
| 104 |
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f49f07882c0>, connector={'cause': 'poukisa', 'effect': 'donk sa'})",
|
| 105 |
+
"doc_to_target": "label",
|
| 106 |
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
| 107 |
+
"description": "",
|
| 108 |
+
"target_delimiter": " ",
|
| 109 |
+
"fewshot_delimiter": "\n\n",
|
| 110 |
+
"metric_list": [
|
| 111 |
+
{
|
| 112 |
+
"metric": "acc"
|
| 113 |
+
}
|
| 114 |
+
],
|
| 115 |
+
"output_type": "multiple_choice",
|
| 116 |
+
"repeats": 1,
|
| 117 |
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"should_decontaminate": false,
|
| 118 |
+
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|
| 119 |
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|
| 120 |
+
}
|
| 121 |
+
},
|
| 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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"doc_to_target": "label",
|
| 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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"metric_list": [
|
| 136 |
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{
|
| 137 |
+
"metric": "acc"
|
| 138 |
+
}
|
| 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 |
+
},
|
| 147 |
+
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|
| 148 |
+
"task": "xcopa_it",
|
| 149 |
+
"group": "xcopa",
|
| 150 |
+
"dataset_path": "xcopa",
|
| 151 |
+
"dataset_name": "it",
|
| 152 |
+
"validation_split": "validation",
|
| 153 |
+
"test_split": "test",
|
| 154 |
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f49f072fb00>, connector={'cause': 'perché', 'effect': 'quindi'})",
|
| 155 |
+
"doc_to_target": "label",
|
| 156 |
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
| 157 |
+
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|
| 158 |
+
"target_delimiter": " ",
|
| 159 |
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"fewshot_delimiter": "\n\n",
|
| 160 |
+
"metric_list": [
|
| 161 |
+
{
|
| 162 |
+
"metric": "acc"
|
| 163 |
+
}
|
| 164 |
+
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|
| 165 |
+
"output_type": "multiple_choice",
|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
+
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|
| 170 |
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|
| 171 |
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},
|
| 172 |
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"xcopa_qu": {
|
| 173 |
+
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|
| 174 |
+
"group": "xcopa",
|
| 175 |
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"dataset_path": "xcopa",
|
| 176 |
+
"dataset_name": "qu",
|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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"doc_to_target": "label",
|
| 181 |
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
| 182 |
+
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|
| 183 |
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"target_delimiter": " ",
|
| 184 |
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|
| 185 |
+
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|
| 186 |
+
{
|
| 187 |
+
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|
| 188 |
+
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
+
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
+
"group": "xcopa",
|
| 200 |
+
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|
| 201 |
+
"dataset_name": "sw",
|
| 202 |
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|
| 203 |
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|
| 204 |
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f49f07896c0>, connector={'cause': 'kwa sababu', 'effect': 'kwa hiyo'})",
|
| 205 |
+
"doc_to_target": "label",
|
| 206 |
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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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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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}
|
| 221 |
+
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|
| 222 |
+
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|
| 223 |
+
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
+
"doc_to_target": "label",
|
| 231 |
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
| 232 |
+
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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}
|
| 246 |
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},
|
| 247 |
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"xcopa_th": {
|
| 248 |
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|
| 249 |
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"group": "xcopa",
|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
+
"doc_to_target": "label",
|
| 256 |
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
| 257 |
+
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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],
|
| 265 |
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|
| 266 |
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|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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}
|
| 271 |
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|
| 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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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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}
|
| 296 |
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},
|
| 297 |
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"xcopa_vi": {
|
| 298 |
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"task": "xcopa_vi",
|
| 299 |
+
"group": "xcopa",
|
| 300 |
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"dataset_path": "xcopa",
|
| 301 |
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"dataset_name": "vi",
|
| 302 |
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|
| 303 |
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"test_split": "test",
|
| 304 |
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f49f0750400>, connector={'cause': 'bởi vì', 'effect': 'vì vậy'})",
|
| 305 |
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"doc_to_target": "label",
|
| 306 |
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
| 307 |
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|
| 308 |
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|
| 309 |
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|
| 310 |
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|
| 311 |
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{
|
| 312 |
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"metric": "acc"
|
| 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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"xcopa_zh": {
|
| 323 |
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"task": "xcopa_zh",
|
| 324 |
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"group": "xcopa",
|
| 325 |
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"dataset_path": "xcopa",
|
| 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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|
| 342 |
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|
| 343 |
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|
| 344 |
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|
| 345 |
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}
|
| 346 |
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}
|
| 347 |
+
},
|
| 348 |
+
"versions": {
|
| 349 |
+
"xcopa": "N/A",
|
| 350 |
+
"xcopa_et": 1.0,
|
| 351 |
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|
| 352 |
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|
| 353 |
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|
| 354 |
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|
| 355 |
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|
| 356 |
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|
| 357 |
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|
| 358 |
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|
| 359 |
+
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|
| 360 |
+
"xcopa_zh": 1.0
|
| 361 |
+
},
|
| 362 |
+
"n-shot": {
|
| 363 |
+
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|
| 364 |
+
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|
| 365 |
+
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|
| 366 |
+
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|
| 367 |
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|
| 368 |
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|
| 369 |
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|
| 370 |
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|
| 371 |
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|
| 372 |
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|
| 373 |
+
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|
| 374 |
+
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|
| 375 |
+
},
|
| 376 |
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"config": {
|
| 377 |
+
"model": "hf",
|
| 378 |
+
"model_args": "pretrained=EleutherAI/pythia-6.9b,dtype=bfloat16,trust_remote_code=True",
|
| 379 |
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"batch_size": "auto",
|
| 380 |
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|
| 381 |
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|
| 382 |
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],
|
| 383 |
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|
| 384 |
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|
| 385 |
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|
| 386 |
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|
| 387 |
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|
| 388 |
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},
|
| 389 |
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"git_hash": "62513ca"
|
| 390 |
+
}
|
lm-eval-output/EleutherAI/pythia-6.9b/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 54447
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lm-eval-output/EleutherAI/pythia-6.9b/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,548 @@
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|
| 1 |
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{
|
| 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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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 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 |
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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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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 54 |
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| 79 |
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| 83 |
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| 84 |
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| 86 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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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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| 138 |
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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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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 171 |
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| 172 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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lm-eval-output/EleutherAI/pythia-6.9b/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"xstorycloze": {
|
| 4 |
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|
| 5 |
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"acc_stderr,none": 0.05362261906116568,
|
| 6 |
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"alias": "xstorycloze"
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| 7 |
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},
|
| 8 |
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|
| 9 |
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"acc,none": 0.5056254136333554,
|
| 10 |
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"acc_stderr,none": 0.01286631092307251,
|
| 11 |
+
"alias": " - xstorycloze_ar"
|
| 12 |
+
},
|
| 13 |
+
"xstorycloze_en": {
|
| 14 |
+
"acc,none": 0.7021839841164792,
|
| 15 |
+
"acc_stderr,none": 0.01176822629134189,
|
| 16 |
+
"alias": " - xstorycloze_en"
|
| 17 |
+
},
|
| 18 |
+
"xstorycloze_es": {
|
| 19 |
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"acc,none": 0.598941098610192,
|
| 20 |
+
"acc_stderr,none": 0.01261268831876706,
|
| 21 |
+
"alias": " - xstorycloze_es"
|
| 22 |
+
},
|
| 23 |
+
"xstorycloze_eu": {
|
| 24 |
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"acc,none": 0.5241561879549967,
|
| 25 |
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"acc_stderr,none": 0.012852100057309615,
|
| 26 |
+
"alias": " - xstorycloze_eu"
|
| 27 |
+
},
|
| 28 |
+
"xstorycloze_hi": {
|
| 29 |
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|
| 30 |
+
"acc_stderr,none": 0.012860357805055855,
|
| 31 |
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"alias": " - xstorycloze_hi"
|
| 32 |
+
},
|
| 33 |
+
"xstorycloze_id": {
|
| 34 |
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|
| 35 |
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"acc_stderr,none": 0.012854469625936085,
|
| 36 |
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"alias": " - xstorycloze_id"
|
| 37 |
+
},
|
| 38 |
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"xstorycloze_my": {
|
| 39 |
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|
| 40 |
+
"acc_stderr,none": 0.012863672949335896,
|
| 41 |
+
"alias": " - xstorycloze_my"
|
| 42 |
+
},
|
| 43 |
+
"xstorycloze_ru": {
|
| 44 |
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|
| 45 |
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|
| 46 |
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"alias": " - xstorycloze_ru"
|
| 47 |
+
},
|
| 48 |
+
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|
| 49 |
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|
| 50 |
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|
| 51 |
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"alias": " - xstorycloze_sw"
|
| 52 |
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},
|
| 53 |
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"xstorycloze_te": {
|
| 54 |
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|
| 55 |
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| 56 |
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"alias": " - xstorycloze_te"
|
| 57 |
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},
|
| 58 |
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"xstorycloze_zh": {
|
| 59 |
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|
| 60 |
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"acc_stderr,none": 0.012829804720321693,
|
| 61 |
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"alias": " - xstorycloze_zh"
|
| 62 |
+
}
|
| 63 |
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},
|
| 64 |
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"groups": {
|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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"alias": "xstorycloze"
|
| 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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"group": "xstorycloze",
|
| 75 |
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"dataset_path": "juletxara/xstory_cloze",
|
| 76 |
+
"dataset_name": "ar",
|
| 77 |
+
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|
| 78 |
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|
| 79 |
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|
| 80 |
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"doc_to_target": "{{answer_right_ending-1}}",
|
| 81 |
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|
| 82 |
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"description": "",
|
| 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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|
| 88 |
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"aggregation": "mean",
|
| 89 |
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"higher_is_better": true
|
| 90 |
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|
| 91 |
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],
|
| 92 |
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"output_type": "multiple_choice",
|
| 93 |
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|
| 94 |
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"should_decontaminate": true,
|
| 95 |
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"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 96 |
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"metadata": {
|
| 97 |
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|
| 98 |
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}
|
| 99 |
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},
|
| 100 |
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|
| 101 |
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"task": "xstorycloze_en",
|
| 102 |
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"group": "xstorycloze",
|
| 103 |
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"dataset_path": "juletxara/xstory_cloze",
|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 108 |
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"doc_to_target": "{{answer_right_ending-1}}",
|
| 109 |
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|
| 110 |
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"description": "",
|
| 111 |
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"target_delimiter": " ",
|
| 112 |
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|
| 113 |
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|
| 114 |
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{
|
| 115 |
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"metric": "acc",
|
| 116 |
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"aggregation": "mean",
|
| 117 |
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"higher_is_better": true
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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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"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 124 |
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"metadata": {
|
| 125 |
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"version": 1.0
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| 126 |
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}
|
| 127 |
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},
|
| 128 |
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"xstorycloze_es": {
|
| 129 |
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"task": "xstorycloze_es",
|
| 130 |
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"group": "xstorycloze",
|
| 131 |
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"dataset_path": "juletxara/xstory_cloze",
|
| 132 |
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"dataset_name": "es",
|
| 133 |
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"training_split": "train",
|
| 134 |
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"validation_split": "eval",
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| 135 |
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"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
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| 136 |
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"doc_to_target": "{{answer_right_ending-1}}",
|
| 137 |
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| 138 |
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| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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{
|
| 143 |
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|
| 144 |
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"aggregation": "mean",
|
| 145 |
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"higher_is_better": true
|
| 146 |
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}
|
| 147 |
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|
| 148 |
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"output_type": "multiple_choice",
|
| 149 |
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|
| 150 |
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|
| 151 |
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| 152 |
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"metadata": {
|
| 153 |
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"version": 1.0
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| 154 |
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}
|
| 155 |
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},
|
| 156 |
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|
| 157 |
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"task": "xstorycloze_eu",
|
| 158 |
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"group": "xstorycloze",
|
| 159 |
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"dataset_path": "juletxara/xstory_cloze",
|
| 160 |
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"dataset_name": "eu",
|
| 161 |
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|
| 162 |
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| 163 |
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"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 164 |
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"doc_to_target": "{{answer_right_ending-1}}",
|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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"fewshot_delimiter": "\n\n",
|
| 169 |
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|
| 170 |
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{
|
| 171 |
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"metric": "acc",
|
| 172 |
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"aggregation": "mean",
|
| 173 |
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| 174 |
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}
|
| 175 |
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|
| 176 |
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"output_type": "multiple_choice",
|
| 177 |
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|
| 178 |
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|
| 179 |
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"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 180 |
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"metadata": {
|
| 181 |
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"version": 1.0
|
| 182 |
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}
|
| 183 |
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},
|
| 184 |
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|
| 185 |
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"task": "xstorycloze_hi",
|
| 186 |
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"group": "xstorycloze",
|
| 187 |
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"dataset_path": "juletxara/xstory_cloze",
|
| 188 |
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"dataset_name": "hi",
|
| 189 |
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"training_split": "train",
|
| 190 |
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"validation_split": "eval",
|
| 191 |
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"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 192 |
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"doc_to_target": "{{answer_right_ending-1}}",
|
| 193 |
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"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 194 |
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"description": "",
|
| 195 |
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|
| 196 |
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"fewshot_delimiter": "\n\n",
|
| 197 |
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|
| 198 |
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{
|
| 199 |
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|
| 200 |
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"aggregation": "mean",
|
| 201 |
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"higher_is_better": true
|
| 202 |
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}
|
| 203 |
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],
|
| 204 |
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"output_type": "multiple_choice",
|
| 205 |
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|
| 206 |
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|
| 207 |
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"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 208 |
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"metadata": {
|
| 209 |
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"version": 1.0
|
| 210 |
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}
|
| 211 |
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},
|
| 212 |
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"xstorycloze_id": {
|
| 213 |
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"task": "xstorycloze_id",
|
| 214 |
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"group": "xstorycloze",
|
| 215 |
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"dataset_path": "juletxara/xstory_cloze",
|
| 216 |
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"dataset_name": "id",
|
| 217 |
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"training_split": "train",
|
| 218 |
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"validation_split": "eval",
|
| 219 |
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"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 220 |
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"doc_to_target": "{{answer_right_ending-1}}",
|
| 221 |
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"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 222 |
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"description": "",
|
| 223 |
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"target_delimiter": " ",
|
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| 240 |
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| 31 |
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| 16 |
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|
@@ -56,15 +56,15 @@
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|
| 56 |
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| 57 |
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| 58 |
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| 59 |
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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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| 69 |
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@@ -76,7 +76,7 @@
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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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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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 201 |
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| 226 |
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| 254 |
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| 255 |
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| 276 |
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| 280 |
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| 304 |
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| 326 |
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| 330 |
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| 376 |
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| 1 |
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| 3 |
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| 4 |
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| 16 |
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| 32 |
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|
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