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gptj result
Browse files- lm-eval-output/EleutherAI/gpt-j-6b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +252 -0
- lm-eval-output/EleutherAI/gpt-j-6b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +283 -0
- lm-eval-output/EleutherAI/gpt-j-6b/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +390 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +548 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +423 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +248 -0
- lm-eval-output/EleutherAI/gpt-j-6b/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
lm-eval-output/EleutherAI/gpt-j-6b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:d11b66970387cdd68f07225df0532c35f96d73862201822619d2de2a5a665973
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size 5548217
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lm-eval-output/EleutherAI/gpt-j-6b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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{
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"results": {
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"lambada_multilingual": {
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"perplexity,none": 61.743281543850046,
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| 5 |
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"perplexity_stderr,none": 18.81227418401626,
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"acc,none": 0.41113914224723463,
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"acc_stderr,none": 0.07862437691428391,
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| 8 |
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"alias": "lambada_multilingual"
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},
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| 10 |
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"lambada_openai_mt_de": {
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"perplexity,none": 82.2136982560527,
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| 12 |
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"perplexity_stderr,none": 4.894409420012391,
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| 13 |
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"acc,none": 0.3120512322918688,
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| 14 |
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"acc_stderr,none": 0.0064551014528429025,
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| 15 |
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"alias": " - lambada_openai_mt_de"
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| 16 |
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},
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| 17 |
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"lambada_openai_mt_en": {
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| 18 |
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"perplexity,none": 4.1118154240616205,
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"perplexity_stderr,none": 0.0885830489704497,
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"acc,none": 0.6768872501455463,
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"acc_stderr,none": 0.0065154930732499675,
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| 22 |
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"alias": " - lambada_openai_mt_en"
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| 23 |
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},
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| 24 |
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"lambada_openai_mt_es": {
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| 25 |
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"perplexity,none": 83.800381643966,
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"perplexity_stderr,none": 4.58944244709407,
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"acc,none": 0.32641179895206673,
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"acc_stderr,none": 0.006532692754359019,
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| 29 |
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"alias": " - lambada_openai_mt_es"
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| 30 |
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},
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"lambada_openai_mt_fr": {
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| 32 |
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"perplexity,none": 51.780202674131694,
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"perplexity_stderr,none": 2.9022534629555268,
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"acc,none": 0.4071414709877741,
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"acc_stderr,none": 0.006844792382678513,
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| 36 |
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"alias": " - lambada_openai_mt_fr"
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| 37 |
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},
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"lambada_openai_mt_it": {
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| 39 |
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"perplexity,none": 86.8103097210382,
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"perplexity_stderr,none": 5.18405231797384,
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"acc,none": 0.3332039588589171,
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"acc_stderr,none": 0.0065669491818204535,
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"alias": " - lambada_openai_mt_it"
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}
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},
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"groups": {
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"lambada_multilingual": {
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"perplexity,none": 61.743281543850046,
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"perplexity_stderr,none": 18.81227418401626,
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"acc,none": 0.41113914224723463,
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"acc_stderr,none": 0.07862437691428391,
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"alias": "lambada_multilingual"
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| 53 |
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}
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| 54 |
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},
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"configs": {
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"lambada_openai_mt_de": {
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"task": "lambada_openai_mt_de",
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| 58 |
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"group": [
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| 59 |
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"lambada_multilingual"
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],
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"dataset_path": "EleutherAI/lambada_openai",
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|
| 194 |
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
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"results": {
|
| 3 |
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"xcopa": {
|
| 4 |
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|
| 5 |
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"acc_stderr,none": 0.03440380430176429,
|
| 6 |
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"alias": "xcopa"
|
| 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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"alias": " - xcopa_et"
|
| 12 |
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},
|
| 13 |
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"xcopa_ht": {
|
| 14 |
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"acc,none": 0.498,
|
| 15 |
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"acc_stderr,none": 0.022382894986483524,
|
| 16 |
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"alias": " - xcopa_ht"
|
| 17 |
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},
|
| 18 |
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"xcopa_id": {
|
| 19 |
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|
| 20 |
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|
| 21 |
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"alias": " - xcopa_id"
|
| 22 |
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},
|
| 23 |
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"xcopa_it": {
|
| 24 |
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|
| 25 |
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|
| 26 |
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"alias": " - xcopa_it"
|
| 27 |
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},
|
| 28 |
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"xcopa_qu": {
|
| 29 |
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|
| 30 |
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|
| 31 |
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"alias": " - xcopa_qu"
|
| 32 |
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},
|
| 33 |
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"xcopa_sw": {
|
| 34 |
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|
| 35 |
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|
| 36 |
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"alias": " - xcopa_sw"
|
| 37 |
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},
|
| 38 |
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"xcopa_ta": {
|
| 39 |
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"acc,none": 0.542,
|
| 40 |
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|
| 41 |
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"alias": " - xcopa_ta"
|
| 42 |
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},
|
| 43 |
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"xcopa_th": {
|
| 44 |
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"acc,none": 0.558,
|
| 45 |
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|
| 46 |
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"alias": " - xcopa_th"
|
| 47 |
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},
|
| 48 |
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"xcopa_tr": {
|
| 49 |
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"acc,none": 0.524,
|
| 50 |
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|
| 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": 0.57,
|
| 55 |
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|
| 56 |
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"alias": " - xcopa_vi"
|
| 57 |
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},
|
| 58 |
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"xcopa_zh": {
|
| 59 |
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"acc,none": 0.592,
|
| 60 |
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"acc_stderr,none": 0.022000910893877186,
|
| 61 |
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"alias": " - xcopa_zh"
|
| 62 |
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}
|
| 63 |
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},
|
| 64 |
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"groups": {
|
| 65 |
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"xcopa": {
|
| 66 |
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"acc,none": 0.5441818181818182,
|
| 67 |
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"acc_stderr,none": 0.03440380430176429,
|
| 68 |
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"alias": "xcopa"
|
| 69 |
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}
|
| 70 |
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},
|
| 71 |
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"configs": {
|
| 72 |
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"xcopa_et": {
|
| 73 |
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"task": "xcopa_et",
|
| 74 |
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"group": "xcopa",
|
| 75 |
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"dataset_path": "xcopa",
|
| 76 |
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"dataset_name": "et",
|
| 77 |
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"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 0x7f13e0d57a60>, 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 |
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"fewshot_delimiter": "\n\n",
|
| 85 |
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"metric_list": [
|
| 86 |
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{
|
| 87 |
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"metric": "acc"
|
| 88 |
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}
|
| 89 |
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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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"version": 1.0
|
| 95 |
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}
|
| 96 |
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},
|
| 97 |
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"xcopa_ht": {
|
| 98 |
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"task": "xcopa_ht",
|
| 99 |
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"group": "xcopa",
|
| 100 |
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"dataset_path": "xcopa",
|
| 101 |
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"dataset_name": "ht",
|
| 102 |
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|
| 103 |
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|
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"alias": "xnli"
|
| 7 |
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},
|
| 8 |
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|
| 9 |
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|
| 10 |
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"acc_stderr,none": 0.009485250208516878,
|
| 11 |
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"alias": " - xnli_ar"
|
| 12 |
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},
|
| 13 |
+
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|
| 14 |
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|
| 15 |
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|
| 16 |
+
"alias": " - xnli_bg"
|
| 17 |
+
},
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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"alias": " - xnli_de"
|
| 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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"alias": " - xnli_el"
|
| 27 |
+
},
|
| 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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|
| 58 |
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|
| 59 |
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| 60 |
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| 61 |
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| 62 |
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|
| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 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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|
| 78 |
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| 79 |
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| 80 |
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| 81 |
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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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| 88 |
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| 89 |
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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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| 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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|
| 106 |
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{
|
| 107 |
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"metric": "acc",
|
| 108 |
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"aggregation": "mean",
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| 109 |
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"higher_is_better": true
|
| 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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"metadata": {
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| 116 |
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"version": 1.0
|
| 117 |
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}
|
| 118 |
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|
| 119 |
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|
| 120 |
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"task": "xnli_bg",
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| 121 |
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"group": "xnli",
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| 122 |
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"dataset_path": "xnli",
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| 123 |
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"dataset_name": "bg",
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| 124 |
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| 125 |
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"validation_split": "validation",
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| 126 |
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|
| 127 |
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"doc_to_target": "label",
|
| 128 |
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| 129 |
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"description": "",
|
| 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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"metric": "acc",
|
| 135 |
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| 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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| 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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| 156 |
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| 157 |
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|
| 158 |
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| 159 |
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|
| 160 |
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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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"metadata": {
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| 170 |
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|
| 171 |
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}
|
| 172 |
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},
|
| 173 |
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| 174 |
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| 175 |
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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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|
| 181 |
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| 182 |
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"doc_to_choice": "{{[premise+\", σωστός? Ναί, \"+hypothesis,premise+\", σωστός? Έτσι, \"+hypothesis,premise+\", σωστός? όχι, \"+hypothesis]}}",
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| 183 |
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|
| 184 |
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|
| 185 |
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| 186 |
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|
| 187 |
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{
|
| 188 |
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"metric": "acc",
|
| 189 |
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|
| 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 |
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| 200 |
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"xstorycloze": {
|
| 4 |
+
"acc,none": 0.5490042717044703,
|
| 5 |
+
"acc_stderr,none": 0.057401991595252236,
|
| 6 |
+
"alias": "xstorycloze"
|
| 7 |
+
},
|
| 8 |
+
"xstorycloze_ar": {
|
| 9 |
+
"acc,none": 0.5155526141628061,
|
| 10 |
+
"acc_stderr,none": 0.012860899111470788,
|
| 11 |
+
"alias": " - xstorycloze_ar"
|
| 12 |
+
},
|
| 13 |
+
"xstorycloze_en": {
|
| 14 |
+
"acc,none": 0.7193911317008603,
|
| 15 |
+
"acc_stderr,none": 0.011562314078147744,
|
| 16 |
+
"alias": " - xstorycloze_en"
|
| 17 |
+
},
|
| 18 |
+
"xstorycloze_es": {
|
| 19 |
+
"acc,none": 0.6082064857710126,
|
| 20 |
+
"acc_stderr,none": 0.012562199063960652,
|
| 21 |
+
"alias": " - xstorycloze_es"
|
| 22 |
+
},
|
| 23 |
+
"xstorycloze_eu": {
|
| 24 |
+
"acc,none": 0.5208471211118465,
|
| 25 |
+
"acc_stderr,none": 0.01285593628288127,
|
| 26 |
+
"alias": " - xstorycloze_eu"
|
| 27 |
+
},
|
| 28 |
+
"xstorycloze_hi": {
|
| 29 |
+
"acc,none": 0.5188616810059563,
|
| 30 |
+
"acc_stderr,none": 0.012857966762464992,
|
| 31 |
+
"alias": " - xstorycloze_hi"
|
| 32 |
+
},
|
| 33 |
+
"xstorycloze_id": {
|
| 34 |
+
"acc,none": 0.5373924553275976,
|
| 35 |
+
"acc_stderr,none": 0.012831093347016553,
|
| 36 |
+
"alias": " - xstorycloze_id"
|
| 37 |
+
},
|
| 38 |
+
"xstorycloze_my": {
|
| 39 |
+
"acc,none": 0.48510919920582396,
|
| 40 |
+
"acc_stderr,none": 0.012861417842074006,
|
| 41 |
+
"alias": " - xstorycloze_my"
|
| 42 |
+
},
|
| 43 |
+
"xstorycloze_ru": {
|
| 44 |
+
"acc,none": 0.5585704831237591,
|
| 45 |
+
"acc_stderr,none": 0.012778538985880638,
|
| 46 |
+
"alias": " - xstorycloze_ru"
|
| 47 |
+
},
|
| 48 |
+
"xstorycloze_sw": {
|
| 49 |
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"acc,none": 0.49040370615486434,
|
| 50 |
+
"acc_stderr,none": 0.01286475526040896,
|
| 51 |
+
"alias": " - xstorycloze_sw"
|
| 52 |
+
},
|
| 53 |
+
"xstorycloze_te": {
|
| 54 |
+
"acc,none": 0.5420251489080079,
|
| 55 |
+
"acc_stderr,none": 0.012821595164245277,
|
| 56 |
+
"alias": " - xstorycloze_te"
|
| 57 |
+
},
|
| 58 |
+
"xstorycloze_zh": {
|
| 59 |
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"acc,none": 0.542686962276638,
|
| 60 |
+
"acc_stderr,none": 0.01282014720425624,
|
| 61 |
+
"alias": " - xstorycloze_zh"
|
| 62 |
+
}
|
| 63 |
+
},
|
| 64 |
+
"groups": {
|
| 65 |
+
"xstorycloze": {
|
| 66 |
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"acc,none": 0.5490042717044703,
|
| 67 |
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"acc_stderr,none": 0.057401991595252236,
|
| 68 |
+
"alias": "xstorycloze"
|
| 69 |
+
}
|
| 70 |
+
},
|
| 71 |
+
"configs": {
|
| 72 |
+
"xstorycloze_ar": {
|
| 73 |
+
"task": "xstorycloze_ar",
|
| 74 |
+
"group": "xstorycloze",
|
| 75 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 76 |
+
"dataset_name": "ar",
|
| 77 |
+
"training_split": "train",
|
| 78 |
+
"validation_split": "eval",
|
| 79 |
+
"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 80 |
+
"doc_to_target": "{{answer_right_ending-1}}",
|
| 81 |
+
"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 82 |
+
"description": "",
|
| 83 |
+
"target_delimiter": " ",
|
| 84 |
+
"fewshot_delimiter": "\n\n",
|
| 85 |
+
"metric_list": [
|
| 86 |
+
{
|
| 87 |
+
"metric": "acc",
|
| 88 |
+
"aggregation": "mean",
|
| 89 |
+
"higher_is_better": true
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
"output_type": "multiple_choice",
|
| 93 |
+
"repeats": 1,
|
| 94 |
+
"should_decontaminate": true,
|
| 95 |
+
"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 96 |
+
"metadata": {
|
| 97 |
+
"version": 1.0
|
| 98 |
+
}
|
| 99 |
+
},
|
| 100 |
+
"xstorycloze_en": {
|
| 101 |
+
"task": "xstorycloze_en",
|
| 102 |
+
"group": "xstorycloze",
|
| 103 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 104 |
+
"dataset_name": "en",
|
| 105 |
+
"training_split": "train",
|
| 106 |
+
"validation_split": "eval",
|
| 107 |
+
"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 108 |
+
"doc_to_target": "{{answer_right_ending-1}}",
|
| 109 |
+
"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 110 |
+
"description": "",
|
| 111 |
+
"target_delimiter": " ",
|
| 112 |
+
"fewshot_delimiter": "\n\n",
|
| 113 |
+
"metric_list": [
|
| 114 |
+
{
|
| 115 |
+
"metric": "acc",
|
| 116 |
+
"aggregation": "mean",
|
| 117 |
+
"higher_is_better": true
|
| 118 |
+
}
|
| 119 |
+
],
|
| 120 |
+
"output_type": "multiple_choice",
|
| 121 |
+
"repeats": 1,
|
| 122 |
+
"should_decontaminate": true,
|
| 123 |
+
"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 124 |
+
"metadata": {
|
| 125 |
+
"version": 1.0
|
| 126 |
+
}
|
| 127 |
+
},
|
| 128 |
+
"xstorycloze_es": {
|
| 129 |
+
"task": "xstorycloze_es",
|
| 130 |
+
"group": "xstorycloze",
|
| 131 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 132 |
+
"dataset_name": "es",
|
| 133 |
+
"training_split": "train",
|
| 134 |
+
"validation_split": "eval",
|
| 135 |
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"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 136 |
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"doc_to_target": "{{answer_right_ending-1}}",
|
| 137 |
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"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 138 |
+
"description": "",
|
| 139 |
+
"target_delimiter": " ",
|
| 140 |
+
"fewshot_delimiter": "\n\n",
|
| 141 |
+
"metric_list": [
|
| 142 |
+
{
|
| 143 |
+
"metric": "acc",
|
| 144 |
+
"aggregation": "mean",
|
| 145 |
+
"higher_is_better": true
|
| 146 |
+
}
|
| 147 |
+
],
|
| 148 |
+
"output_type": "multiple_choice",
|
| 149 |
+
"repeats": 1,
|
| 150 |
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"should_decontaminate": true,
|
| 151 |
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"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 152 |
+
"metadata": {
|
| 153 |
+
"version": 1.0
|
| 154 |
+
}
|
| 155 |
+
},
|
| 156 |
+
"xstorycloze_eu": {
|
| 157 |
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"task": "xstorycloze_eu",
|
| 158 |
+
"group": "xstorycloze",
|
| 159 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 160 |
+
"dataset_name": "eu",
|
| 161 |
+
"training_split": "train",
|
| 162 |
+
"validation_split": "eval",
|
| 163 |
+
"doc_to_text": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 164 |
+
"doc_to_target": "{{answer_right_ending-1}}",
|
| 165 |
+
"doc_to_choice": "{{[sentence_quiz1, sentence_quiz2]}}",
|
| 166 |
+
"description": "",
|
| 167 |
+
"target_delimiter": " ",
|
| 168 |
+
"fewshot_delimiter": "\n\n",
|
| 169 |
+
"metric_list": [
|
| 170 |
+
{
|
| 171 |
+
"metric": "acc",
|
| 172 |
+
"aggregation": "mean",
|
| 173 |
+
"higher_is_better": true
|
| 174 |
+
}
|
| 175 |
+
],
|
| 176 |
+
"output_type": "multiple_choice",
|
| 177 |
+
"repeats": 1,
|
| 178 |
+
"should_decontaminate": true,
|
| 179 |
+
"doc_to_decontamination_query": "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}",
|
| 180 |
+
"metadata": {
|
| 181 |
+
"version": 1.0
|
| 182 |
+
}
|
| 183 |
+
},
|
| 184 |
+
"xstorycloze_hi": {
|
| 185 |
+
"task": "xstorycloze_hi",
|
| 186 |
+
"group": "xstorycloze",
|
| 187 |
+
"dataset_path": "juletxara/xstory_cloze",
|
| 188 |
+
"dataset_name": "hi",
|
| 189 |
+
"training_split": "train",
|
| 190 |
+
"validation_split": "eval",
|
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lm-eval-output/EleutherAI/gpt-j-6b/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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|
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