data/Qwen2.5-7B-Instruct_metrics.csv

epoch,model,run,accuracy,precision,recall,f1,ratio_valid_classifications
0.0,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct_torch.bfloat16_lf,0.644,0.7200261355300325,0.644,0.6101052277961244,1.0
0.2,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-35_torch.bfloat16_lf,0.745,0.7643041174791825,0.745,0.7482828029872421,0.998
0.4,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-70_torch.bfloat16_lf,0.7446666666666667,0.7800215227839997,0.7446666666666667,0.7576550061479678,0.9996666666666667
0.6,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-105_torch.bfloat16_lf,0.7513333333333333,0.7996792149630704,0.7513333333333333,0.7693730206330721,0.9996666666666667
0.8,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-140_torch.bfloat16_lf,0.75,0.7923028105975739,0.75,0.7665531868559959,1.0
1.0,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-175_torch.bfloat16_lf,0.771,0.8005814962709542,0.771,0.7814602739241332,0.9993333333333333
1.2,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-210_torch.bfloat16_lf,0.7443333333333333,0.79978900243777,0.7443333333333333,0.7660506505481828,1.0
1.4,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-245_torch.bfloat16_lf,0.7486666666666667,0.7974562319123832,0.7486666666666667,0.7655275916268014,0.9993333333333333
1.6,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-280_torch.bfloat16_lf,0.7566666666666667,0.7939852407869384,0.7566666666666667,0.7689495073735431,0.9996666666666667
1.8,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-315_torch.bfloat16_lf,0.755,0.7940575522966016,0.755,0.7681326415137147,0.9993333333333333
2.0,Qwen2.5-7B-Instruct,Qwen/Qwen2.5-7B-Instruct/checkpoint-350_torch.bfloat16_lf,0.756,0.7982464722401461,0.756,0.7704035278260453,0.9996666666666667