Create README.md
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README.md
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---
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base_model:
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- lars1234/Mistral-Small-24B-Instruct-2501-writer
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---
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vllm (pretrained=/root/autodl-tmp/Mistral-Small-24B-Instruct-2501-writer,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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| 8 |
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|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.924|± |0.0168|
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| | |strict-match | 5|exact_match|↑ |0.920|± |0.0172|
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vllm (pretrained=/root/autodl-tmp/Mistral-Small-24B-Instruct-2501-writer,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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| 14 |
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|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.918|± |0.0123|
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| | |strict-match | 5|exact_match|↑ |0.908|± |0.0129|
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vllm (pretrained=/root/autodl-tmp/Mistral-Small-24B-Instruct-2501-writer,add_bos_token=true,max_model_len=4096,dtype=bfloat16,max_num_seqs=3), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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|------------------|------:|------|------|------|---|-----:|---|-----:|
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|mmlu | 2|none | |acc |↑ |0.7977|± |0.0131|
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| - humanities | 2|none | |acc |↑ |0.8256|± |0.0263|
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| 22 |
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| - other | 2|none | |acc |↑ |0.8205|± |0.0265|
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| 23 |
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| - social sciences| 2|none | |acc |↑ |0.8556|± |0.0256|
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| 24 |
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| - stem | 2|none | |acc |↑ |0.7263|± |0.0249|
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vllm (pretrained=/root/autodl-tmp/70-512-df10,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
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| 28 |
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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| 29 |
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|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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| 30 |
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|gsm8k| 3|flexible-extract| 5|exact_match|↑ | 0.92|± |0.0172|
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| 31 |
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| | |strict-match | 5|exact_match|↑ | 0.92|± |0.0172|
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vllm (pretrained=/root/autodl-tmp/70-512-df10,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
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| 34 |
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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| 35 |
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|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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| 36 |
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|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.910|± |0.0128|
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| 37 |
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| | |strict-match | 5|exact_match|↑ |0.906|± |0.0131|
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vllm (pretrained=/root/autodl-tmp/70-512-df10,add_bos_token=true,max_model_len=4096,dtype=bfloat16,max_num_seqs=3), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
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| 40 |
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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| 41 |
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|------------------|------:|------|------|------|---|-----:|---|-----:|
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| 42 |
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|mmlu | 2|none | |acc |↑ |0.7836|± |0.0133|
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| 43 |
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| - humanities | 2|none | |acc |↑ |0.8103|± |0.0267|
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| 44 |
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| - other | 2|none | |acc |↑ |0.7949|± |0.0271|
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| 45 |
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| - social sciences| 2|none | |acc |↑ |0.8556|± |0.0252|
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| 46 |
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| - stem | 2|none | |acc |↑ |0.7123|± |0.0257|
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| 47 |
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| 48 |
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vllm (pretrained=/root/autodl-tmp/86-256,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
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| 50 |
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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| 51 |
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|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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| 52 |
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|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.928|± |0.0164|
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| 53 |
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| | |strict-match | 5|exact_match|↑ |0.924|± |0.0168|
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| 54 |
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| 55 |
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vllm (pretrained=/root/autodl-tmp/86-256,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
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| 56 |
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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| 57 |
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|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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| 58 |
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|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.928|± |0.0116|
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| 59 |
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| | |strict-match | 5|exact_match|↑ |0.920|± |0.0121|
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vllm (pretrained=/root/autodl-tmp/86-256,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
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| 62 |
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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| 63 |
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|------------------|------:|------|------|------|---|-----:|---|-----:|
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| 64 |
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|mmlu | 2|none | |acc |↑ |0.7942|± |0.0131|
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| 65 |
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| - humanities | 2|none | |acc |↑ |0.8103|± |0.0270|
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| 66 |
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| - other | 2|none | |acc |↑ |0.7949|± |0.0280|
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| 67 |
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| - social sciences| 2|none | |acc |↑ |0.8556|± |0.0252|
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| 68 |
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| - stem | 2|none | |acc |↑ |0.7439|± |0.0242|
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