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Mistral-Small-24B-Instruct-2501-writer-W8A8

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mistral
8-bit precision
compressed-tensors
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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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+ |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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+
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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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+ |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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+
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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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+ | - other | 2|none | |acc |↑ |0.8205|± |0.0265|
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+ | - social sciences| 2|none | |acc |↑ |0.8556|± |0.0256|
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+ | - stem | 2|none | |acc |↑ |0.7263|± |0.0249|
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+
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+
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+ 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
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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.904|± |0.0187|
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+ | | |strict-match | 5|exact_match|↑ |0.904|± |0.0187|
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+
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+ 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
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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.904|± |0.0132|
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+ | | |strict-match | 5|exact_match|↑ |0.900|± |0.0134|
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+
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+ 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
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+ | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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+ |------------------|------:|------|------|------|---|-----:|---|-----:|
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+ |mmlu | 2|none | |acc |↑ |0.7836|± |0.0132|
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+ | - humanities | 2|none | |acc |↑ |0.8103|± |0.0261|
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+ | - other | 2|none | |acc |↑ |0.8000|± |0.0269|
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+ | - social sciences| 2|none | |acc |↑ |0.8556|± |0.0248|
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+ | - stem | 2|none | |acc |↑ |0.7088|± |0.0256|
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+
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+
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+ 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
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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.896|± |0.0193|
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+ | | |strict-match | 5|exact_match|↑ |0.896|± |0.0193|
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+
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+ 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
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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.894|± |0.0138|
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+ | | |strict-match | 5|exact_match|↑ |0.886|± |0.0142|
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+
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+ 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
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+ | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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+ |------------------|------:|------|------|------|---|-----:|---|-----:|
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+ |mmlu | 2|none | |acc |↑ |0.7801|± |0.0134|
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+ | - humanities | 2|none | |acc |↑ |0.8154|± |0.0261|
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+ | - other | 2|none | |acc |↑ |0.7795|± |0.0280|
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+ | - social sciences| 2|none | |acc |↑ |0.8444|± |0.0263|
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+ | - stem | 2|none | |acc |↑ |0.7158|± |0.0254|
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+
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+
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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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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ | 0.92|± |0.0172|
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+ | | |strict-match | 5|exact_match|↑ | 0.92|± |0.0172|
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+
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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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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.910|± |0.0128|
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+ | | |strict-match | 5|exact_match|↑ |0.906|± |0.0131|
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+
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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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+ | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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+ |------------------|------:|------|------|------|---|-----:|---|-----:|
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+ |mmlu | 2|none | |acc |↑ |0.7836|± |0.0133|
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+ | - humanities | 2|none | |acc |↑ |0.8103|± |0.0267|
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+ | - other | 2|none | |acc |↑ |0.7949|± |0.0271|
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+ | - social sciences| 2|none | |acc |↑ |0.8556|± |0.0252|
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+ | - stem | 2|none | |acc |↑ |0.7123|± |0.0257|
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+
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+
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+ 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
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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.912|± |0.0180|
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+ | | |strict-match | 5|exact_match|↑ |0.908|± |0.0183|
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+
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+ 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
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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.902|± |0.0133|
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+ | | |strict-match | 5|exact_match|↑ |0.896|± |0.0137|
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+
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+ 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
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+ | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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+ |------------------|------:|------|------|------|---|-----:|---|-----:|
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+ |mmlu | 2|none | |acc |↑ |0.7953|± |0.0129|
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+ | - humanities | 2|none | |acc |↑ |0.8308|± |0.0251|
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+ | - other | 2|none | |acc |↑ |0.7846|± |0.0275|
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+ | - social sciences| 2|none | |acc |↑ |0.8722|± |0.0241|
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+ | - stem | 2|none | |acc |↑ |0.7298|± |0.0247|
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+
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+
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+ 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
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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.888|± |0.0200|
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+ | | |strict-match | 5|exact_match|↑ |0.884|± |0.0203|
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+
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+ 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
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+ |Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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+ |-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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+ |gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.880|± |0.0145|
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+ | | |strict-match | 5|exact_match|↑ |0.872|± |0.0150|
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+
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+ 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
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+ | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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+ |------------------|------:|------|------|------|---|-----:|---|-----:|
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+ |mmlu | 2|none | |acc |↑ |0.7743|± |0.0134|
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+ | - humanities | 2|none | |acc |↑ |0.7897|± |0.0280|
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+ | - other | 2|none | |acc |↑ |0.7744|± |0.0280|
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+ | - social sciences| 2|none | |acc |↑ |0.8833|± |0.0233|
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+ | - stem | 2|none | |acc |↑ |0.6947|± |0.0258|