vllm (pretrained=/root/autodl-tmp/Forgotten-Transgression-24B-v4.1,add_bos_token=true,max_model_len=3096,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/Forgotten-Transgression-24B-v4.1,add_bos_token=true,max_model_len=3096,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 | ↑ | 0.922 | ± | 0.0120 |
| | strict-match | 5 | exact_match | ↑ | 0.914 | ± | 0.0126 |
vllm (pretrained=/root/autodl-tmp/Forgotten-Transgression-24B-v4.1,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.8012 | ± | 0.0129 |
| - humanities | 2 | none | | acc | ↑ | 0.8205 | ± | 0.0253 |
| - other | 2 | none | | acc | ↑ | 0.8103 | ± | 0.0269 |
| - social sciences | 2 | none | | acc | ↑ | 0.8667 | ± | 0.0246 |
| - stem | 2 | none | | acc | ↑ | 0.7404 | ± | 0.0248 |
vllm (pretrained=/root/autodl-tmp/85-512,add_bos_token=true,max_model_len=3096,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 | ↑ | 0.908 | ± | 0.0183 |
| | strict-match | 5 | exact_match | ↑ | 0.904 | ± | 0.0187 |
vllm (pretrained=/root/autodl-tmp/85-512,add_bos_token=true,max_model_len=3096,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 | ↑ | 0.894 | ± | 0.0138 |
vllm (pretrained=/root/autodl-tmp/85-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.8000 | ± | 0.0130 |
| - humanities | 2 | none | | acc | ↑ | 0.8205 | ± | 0.0255 |
| - other | 2 | none | | acc | ↑ | 0.8051 | ± | 0.0276 |
| - social sciences | 2 | none | | acc | ↑ | 0.8667 | ± | 0.0246 |
| - stem | 2 | none | | acc | ↑ | 0.7404 | ± | 0.0247 |
vllm (pretrained=/root/autodl-tmp/857-512,add_bos_token=true,max_model_len=3096,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/857-512,add_bos_token=true,max_model_len=3096,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 | ↑ | 0.896 | ± | 0.0137 |
| | strict-match | 5 | exact_match | ↑ | 0.892 | ± | 0.0139 |
vllm (pretrained=/root/autodl-tmp/857-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7942 | ± | 0.0130 |
| - humanities | 2 | none | | acc | ↑ | 0.8308 | ± | 0.0254 |
| - other | 2 | none | | acc | ↑ | 0.7897 | ± | 0.0278 |
| - social sciences | 2 | none | | acc | ↑ | 0.8667 | ± | 0.0245 |
| - stem | 2 | none | | acc | ↑ | 0.7263 | ± | 0.0249 |
vllm (pretrained=/root/autodl-tmp/86-512,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 | ↑ | 0.916 | ± | 0.0176 |
| | strict-match | 5 | exact_match | ↑ | 0.912 | ± | 0.0180 |
vllm (pretrained=/root/autodl-tmp/86-512,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 | ↑ | 0.914 | ± | 0.0126 |
| | strict-match | 5 | exact_match | ↑ | 0.902 | ± | 0.0133 |
vllm (pretrained=/root/autodl-tmp/86-512,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.8012 | ± | 0.0129 |
| - humanities | 2 | none | | acc | ↑ | 0.8462 | ± | 0.0244 |
| - other | 2 | none | | acc | ↑ | 0.8051 | ± | 0.0269 |
| - social sciences | 2 | none | | acc | ↑ | 0.8667 | ± | 0.0249 |
| - stem | 2 | none | | acc | ↑ | 0.7263 | ± | 0.0253 |
vllm (pretrained=/root/autodl-tmp/863-512,add_bos_token=true,max_model_len=3096,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 | ↑ | 0.908 | ± | 0.0183 |
| | strict-match | 5 | exact_match | ↑ | 0.896 | ± | 0.0193 |
vllm (pretrained=/root/autodl-tmp/863-512,add_bos_token=true,max_model_len=3096,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 | ↑ | 0.906 | ± | 0.0131 |
| | strict-match | 5 | exact_match | ↑ | 0.892 | ± | 0.0139 |
vllm (pretrained=/root/autodl-tmp/863-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7988 | ± | 0.0130 |
| - humanities | 2 | none | | acc | ↑ | 0.8308 | ± | 0.0259 |
| - other | 2 | none | | acc | ↑ | 0.8205 | ± | 0.0261 |
| - social sciences | 2 | none | | acc | ↑ | 0.8611 | ± | 0.0244 |
| - stem | 2 | none | | acc | ↑ | 0.7228 | ± | 0.0253 |