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add evaluation results for weblab-10b models #85
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| #!/bin/bash | ||
|
|
||
| MODEL_NAME="weblab-10b-instruction-sft" | ||
| MODEL_ARGS="pretrained=matsuo-lab/${MODEL_NAME},torch_dtype=auto" | ||
| TASK="jcommonsenseqa-1.1-0.3,jnli-1.1-0.3,marc_ja-1.1-0.3,jsquad-1.1-0.3,jaqket_v2-0.2-0.3,xlsum_ja-1.0-0.3,xwinograd_ja,mgsm-1.0-0.3" | ||
| NUM_FEWSHOT="3,3,3,2,1,1,0,5" | ||
| OUTPUT_PATH="models/matsuo-lab/${MODEL_NAME}/result.json" | ||
| python main.py \ | ||
| --model hf-causal \ | ||
| --model_args $MODEL_ARGS \ | ||
| --tasks $TASK \ | ||
| --num_fewshot $NUM_FEWSHOT \ | ||
| --device "cuda" \ | ||
| --output_path $OUTPUT_PATH |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,71 @@ | ||
| { | ||
| "results": { | ||
| "jcommonsenseqa-1.1-0.3": { | ||
| "acc": 0.7462019660411081, | ||
| "acc_stderr": 0.013015217181453645, | ||
| "acc_norm": 0.7444146559428061, | ||
| "acc_norm_stderr": 0.013045313758426097 | ||
| }, | ||
| "jnli-1.1-0.3": { | ||
| "acc": 0.6655710764174199, | ||
| "acc_stderr": 0.009564848188061246, | ||
| "acc_norm": 0.5349219391947412, | ||
| "acc_norm_stderr": 0.010112000378231595 | ||
| }, | ||
| "marc_ja-1.1-0.3": { | ||
| "acc": 0.9548991864166961, | ||
| "acc_stderr": 0.0027601421998296426, | ||
| "acc_norm": 0.9548991864166961, | ||
| "acc_norm_stderr": 0.0027601421998296426 | ||
| }, | ||
| "xwinograd_ja": { | ||
| "acc": 0.7194994786235662, | ||
| "acc_stderr": 0.014514407890552954 | ||
| }, | ||
| "jsquad-1.1-0.3": { | ||
| "exact_match": 78.34308869878433, | ||
| "f1": 84.6243755976619 | ||
| }, | ||
| "jaqket_v2-0.2-0.3": { | ||
| "exact_match": 63.31615120274914, | ||
| "f1": 66.73484972454041 | ||
| }, | ||
| "xlsum_ja-1.0-0.3": { | ||
| "rouge2": 20.569208532135303 | ||
| }, | ||
| "mgsm-1.0-0.3": { | ||
| "acc": 0.02, | ||
| "acc_stderr": 0.008872139507342685 | ||
| } | ||
| }, | ||
| "versions": { | ||
| "jcommonsenseqa-1.1-0.3": 1.1, | ||
| "jnli-1.1-0.3": 1.1, | ||
| "marc_ja-1.1-0.3": 1.1, | ||
| "jsquad-1.1-0.3": 1.1, | ||
| "jaqket_v2-0.2-0.3": 0.2, | ||
| "xlsum_ja-1.0-0.3": 1.0, | ||
| "xwinograd_ja": 1.0, | ||
| "mgsm-1.0-0.3": 1.0 | ||
| }, | ||
| "config": { | ||
| "model": "hf-causal", | ||
| "model_args": "pretrained=matsuo-lab/weblab-10b-instruction-sft,torch_dtype=auto", | ||
| "num_fewshot": [ | ||
| 3, | ||
| 3, | ||
| 3, | ||
| 2, | ||
| 1, | ||
| 1, | ||
| 0, | ||
| 5 | ||
| ], | ||
| "batch_size": null, | ||
| "device": "cuda", | ||
| "no_cache": false, | ||
| "limit": null, | ||
| "bootstrap_iters": 100000, | ||
| "description_dict": {} | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| #!/bin/bash | ||
|
|
||
| MODEL_NAME="weblab-10b" | ||
| MODEL_ARGS="pretrained=matsuo-lab/${MODEL_NAME},torch_dtype=auto" | ||
| TASK="jcommonsenseqa-1.1-0.3,jnli-1.1-0.3,marc_ja-1.1-0.3,jsquad-1.1-0.3,jaqket_v2-0.2-0.3,xlsum_ja-1.0-0.3,xwinograd_ja,mgsm-1.0-0.3" | ||
| NUM_FEWSHOT="3,3,3,2,1,1,0,5" | ||
| OUTPUT_PATH="models/matsuo-lab/${MODEL_NAME}/result.json" | ||
| python main.py \ | ||
| --model hf-causal \ | ||
| --model_args $MODEL_ARGS \ | ||
| --tasks $TASK \ | ||
| --num_fewshot $NUM_FEWSHOT \ | ||
| --device "cuda" \ | ||
| --output_path $OUTPUT_PATH | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,71 @@ | ||
| { | ||
| "results": { | ||
| "jcommonsenseqa-1.1-0.3": { | ||
| "acc": 0.6657730116175157, | ||
| "acc_stderr": 0.014107918728785251, | ||
| "acc_norm": 0.6157283288650581, | ||
| "acc_norm_stderr": 0.0145476502199282 | ||
| }, | ||
| "jnli-1.1-0.3": { | ||
| "acc": 0.5373870172555464, | ||
| "acc_stderr": 0.010108377185797195, | ||
| "acc_norm": 0.49671322925225964, | ||
| "acc_norm_stderr": 0.0101365359837632 | ||
| }, | ||
| "marc_ja-1.1-0.3": { | ||
| "acc": 0.8206579412805094, | ||
| "acc_stderr": 0.005102495976041424, | ||
| "acc_norm": 0.8206579412805094, | ||
| "acc_norm_stderr": 0.005102495976041424 | ||
| }, | ||
| "xwinograd_ja": { | ||
| "acc": 0.7194994786235662, | ||
| "acc_stderr": 0.014514407890552965 | ||
| }, | ||
| "jsquad-1.1-0.3": { | ||
| "exact_match": 62.94461954074741, | ||
| "f1": 71.39321494073558 | ||
| }, | ||
| "jaqket_v2-0.2-0.3": { | ||
| "exact_match": 56.18556701030928, | ||
| "f1": 60.1091610756559 | ||
| }, | ||
| "xlsum_ja-1.0-0.3": { | ||
| "rouge2": 10.025750779559178 | ||
| }, | ||
| "mgsm-1.0-0.3": { | ||
| "acc": 0.024, | ||
| "acc_stderr": 0.009699087026964242 | ||
| } | ||
| }, | ||
| "versions": { | ||
| "jcommonsenseqa-1.1-0.3": 1.1, | ||
| "jnli-1.1-0.3": 1.1, | ||
| "marc_ja-1.1-0.3": 1.1, | ||
| "jsquad-1.1-0.3": 1.1, | ||
| "jaqket_v2-0.2-0.3": 0.2, | ||
| "xlsum_ja-1.0-0.3": 1.0, | ||
| "xwinograd_ja": 1.0, | ||
| "mgsm-1.0-0.3": 1.0 | ||
| }, | ||
| "config": { | ||
| "model": "hf-causal", | ||
| "model_args": "pretrained=matsuo-lab/weblab-10b,torch_dtype=auto", | ||
| "num_fewshot": [ | ||
| 3, | ||
| 3, | ||
| 3, | ||
| 2, | ||
| 1, | ||
| 1, | ||
| 0, | ||
| 5 | ||
| ], | ||
| "batch_size": null, | ||
| "device": "cuda", | ||
| "no_cache": false, | ||
| "limit": null, | ||
| "bootstrap_iters": 100000, | ||
| "description_dict": {} | ||
| } | ||
| } |
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@kojima-takeshi188 For "base" models,
0.2or0.1is fair to use. (If0.3is used for one base model, all base models in the leaderboard have to be evaluated with0.3for fair comparison and update the leaderboard.)Please refer to this script.