--- base_model: - lars1234/Mistral-Small-24B-Instruct-2501-writer --- 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 |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.924|± |0.0168| | | |strict-match | 5|exact_match|↑ |0.920|± |0.0172| 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 |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.918|± |0.0123| | | |strict-match | 5|exact_match|↑ |0.908|± |0.0129| 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 | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |------------------|------:|------|------|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.7977|± |0.0131| | - humanities | 2|none | |acc |↑ |0.8256|± |0.0263| | - other | 2|none | |acc |↑ |0.8205|± |0.0265| | - social sciences| 2|none | |acc |↑ |0.8556|± |0.0256| | - stem | 2|none | |acc |↑ |0.7263|± |0.0249| vllm (pretrained=/root/autodl-tmp/70-512-df10-uc,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.904|± |0.0187| | | |strict-match | 5|exact_match|↑ |0.904|± |0.0187| vllm (pretrained=/root/autodl-tmp/70-512-df10-uc,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.904|± |0.0132| | | |strict-match | 5|exact_match|↑ |0.900|± |0.0134| vllm (pretrained=/root/autodl-tmp/70-512-df10-uc,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 | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |------------------|------:|------|------|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.7836|± |0.0132| | - humanities | 2|none | |acc |↑ |0.8103|± |0.0261| | - other | 2|none | |acc |↑ |0.8000|± |0.0269| | - social sciences| 2|none | |acc |↑ |0.8556|± |0.0248| | - stem | 2|none | |acc |↑ |0.7088|± |0.0256| vllm (pretrained=/root/autodl-tmp/70-512-df8,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.896|± |0.0193| | | |strict-match | 5|exact_match|↑ |0.896|± |0.0193| vllm (pretrained=/root/autodl-tmp/70-512-df8,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.894|± |0.0138| | | |strict-match | 5|exact_match|↑ |0.886|± |0.0142| vllm (pretrained=/root/autodl-tmp/70-512-df8,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 | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |------------------|------:|------|------|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.7801|± |0.0134| | - humanities | 2|none | |acc |↑ |0.8154|± |0.0261| | - other | 2|none | |acc |↑ |0.7795|± |0.0280| | - social sciences| 2|none | |acc |↑ |0.8444|± |0.0263| | - stem | 2|none | |acc |↑ |0.7158|± |0.0254| 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 |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ | 0.92|± |0.0172| | | |strict-match | 5|exact_match|↑ | 0.92|± |0.0172| 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 |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.910|± |0.0128| | | |strict-match | 5|exact_match|↑ |0.906|± |0.0131| 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 | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |------------------|------:|------|------|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.7836|± |0.0133| | - humanities | 2|none | |acc |↑ |0.8103|± |0.0267| | - other | 2|none | |acc |↑ |0.7949|± |0.0271| | - social sciences| 2|none | |acc |↑ |0.8556|± |0.0252| | - stem | 2|none | |acc |↑ |0.7123|± |0.0257| vllm (pretrained=/root/autodl-tmp/70-512-df11,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.912|± |0.0180| | | |strict-match | 5|exact_match|↑ |0.908|± |0.0183| vllm (pretrained=/root/autodl-tmp/70-512-df11,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.902|± |0.0133| | | |strict-match | 5|exact_match|↑ |0.896|± |0.0137| vllm (pretrained=/root/autodl-tmp/70-512-df11,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 | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |------------------|------:|------|------|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.7953|± |0.0129| | - humanities | 2|none | |acc |↑ |0.8308|± |0.0251| | - other | 2|none | |acc |↑ |0.7846|± |0.0275| | - social sciences| 2|none | |acc |↑ |0.8722|± |0.0241| | - stem | 2|none | |acc |↑ |0.7298|± |0.0247| vllm (pretrained=/root/autodl-tmp/86-512-uc,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.888|± |0.0200| | | |strict-match | 5|exact_match|↑ |0.884|± |0.0203| vllm (pretrained=/root/autodl-tmp/86-512-uc,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr| |-----|------:|----------------|-----:|-----------|---|----:|---|-----:| |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.880|± |0.0145| | | |strict-match | 5|exact_match|↑ |0.872|± |0.0150| vllm (pretrained=/root/autodl-tmp/86-512-uc,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 | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |------------------|------:|------|------|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.7743|± |0.0134| | - humanities | 2|none | |acc |↑ |0.7897|± |0.0280| | - other | 2|none | |acc |↑ |0.7744|± |0.0280| | - social sciences| 2|none | |acc |↑ |0.8833|± |0.0233| | - stem | 2|none | |acc |↑ |0.6947|± |0.0258|