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ConceptLM-Llama3.1-8B, continual pre-trained from Llama-3.1-8B with 9.6B tokens.

Benchmark Setting Metric Result
MMLU 5-shot ACC 64.62
AGIEval 3-shot ACC 35.11
ARC-Challenge 25-shot ACC 54.18
SQuAD 2.0 5-shot F1 / EM 36.51
Tasks Version Filter n-shot Metric Value Stderr
squadv2 3 none 1 HasAns_exact ↑ 63.8495 ± N/A
none 1 HasAns_f1 ↑ 73.1161 ± N/A
none 1 NoAns_exact ↑ 0.0000 ± N/A
none 1 NoAns_f1 ↑ 0.0000 ± N/A
none 1 best_exact ↑ 50.6022 ± N/A
none 1 best_f1 ↑ 52.9611 ± N/A
none 1 exact ↑ 31.8791 ± N/A
none 1 f1 ↑ 36.5057 ± N/A
Groups Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.6462 ± 0.0038
- humanities 2 none acc ↑ 0.5955 ± 0.0068
- other 2 none acc ↑ 0.7119 ± 0.0078
- social sciences 2 none acc ↑ 0.7527 ± 0.0076
- stem 2 none acc ↑ 0.5531 ± 0.0085

Your can reproduce our results using our released code.

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