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,0.6946666666666667,0.701136267898111,0.6946666666666667,0.6634078645357937,0.011666666666666667
0.2,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-35_torch.float16_lf,0.702,0.7932731014186957,0.702,0.7342714734731689,1.0
0.4,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70_torch.float16_lf,0.742,0.78982949223512,0.742,0.7536681109811127,1.0
0.6,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-105_torch.float16_lf,0.6596666666666666,0.7923396753604393,0.6596666666666666,0.7067542301676931,1.0
0.8,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-140_torch.float16_lf,0.7146666666666667,0.7861341885687435,0.7146666666666667,0.7404677278137267,1.0
1.0,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-175_torch.float16_lf,0.7326666666666667,0.7876867721932461,0.7326666666666667,0.7471869515031995,1.0
1.2,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-210_torch.float16_lf,0.7016666666666667,0.7903119228393193,0.7016666666666667,0.7348708822385348,1.0
1.4,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-245_torch.float16_lf,0.75,0.7885868317699068,0.75,0.7648234347578796,1.0
1.6,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-280_torch.float16_lf,0.7156666666666667,0.7846106674095725,0.7156666666666667,0.7410042005708856,1.0
1.8,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-315_torch.float16_lf,0.6916666666666667,0.7864256994491394,0.6916666666666667,0.7257499426487266,1.0
2.0,Mistral-7B-v0.3-Chinese-Chat,shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-350_torch.float16_lf,0.6976666666666667,0.7889443494370009,0.6976666666666667,0.7307996137659796,1.0