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Build error
analysis of internlm/llama3
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competition/00a_InternLM_2.5_Results.ipynb
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competition/11_Llama-3_8b_analysis.ipynb
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competition/11a_Llama-3_8b_p2_analysis.ipynb
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results/mgtv-llama3_p1_full_metrics.csv
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epoch,model,accuracy,precision,recall,f1
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0,shenzhi-wang/Llama3-8B-Chinese-Chat,0.7836666666666666,0.7667122897184859,0.7929173693086004,0.7679400621793133
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1,shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-175,0.5686666666666667,0.8071228551961105,0.5686666666666667,0.625398807088777
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2,shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-350,0.7043333333333334,0.8108167278539298,0.7043333333333334,0.7421863499027709
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results/mgtv-llama3_p2_full_metrics.csv
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epoch,model,accuracy,precision,recall,f1
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0,shenzhi-wang/Llama3-8B-Chinese-Chat,0.73,0.7709739363586101,0.73,0.7462914191370829
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1,shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-175,0.773,0.7739158621170704,0.773,0.7642801051494378
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2,shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-350,0.7046666666666667,0.814516278555831,0.7046666666666667,0.7453647242165446
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3,shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-525,0.6793333333333333,0.8030704466494853,0.6793333333333333,0.7246368106499855
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