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epoch,model,run,accuracy,precision,recall,f1,ratio_valid_classifications
0.0,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat_torch.float16_lf,0.6923333333333334,0.7009179792741449,0.6923333333333334,0.6605899639694456,0.011666666666666667
0.2,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-35_torch.float16_lf,0.706,0.7832545046834243,0.706,0.7323466131711432,1.0
0.4,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70_torch.float16_lf,0.7476666666666667,0.7836120158306894,0.7476666666666667,0.7557791381509955,1.0
0.6,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-105_torch.float16_lf,0.6736666666666666,0.7908140272002406,0.6736666666666666,0.7129951145360993,1.0
0.8,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-140_torch.float16_lf,0.7293333333333333,0.788387677637057,0.7293333333333333,0.7494137469900564,1.0
1.0,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-175_torch.float16_lf,0.74,0.7833068129490098,0.74,0.7499935485741815,1.0
1.2,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-210_torch.float16_lf,0.7146666666666667,0.7890760288118991,0.7146666666666667,0.7411240160229633,1.0
1.4,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-245_torch.float16_lf,0.7616666666666667,0.789634957005121,0.7616666666666667,0.7721210086098353,1.0
1.6,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-280_torch.float16_lf,0.7296666666666667,0.7854982015370922,0.7296666666666667,0.7491267995936699,1.0
1.8,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-315_torch.float16_lf,0.7076666666666667,0.7877874532247918,0.7076666666666667,0.7346283562321456,1.0
2.0,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-350_torch.float16_lf,0.713,0.7895690867103055,0.713,0.739013227401175,1.0