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@@ -10,4 +10,33 @@ pipeline_tag: text-classification
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  library_name: transformers
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  ---
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- 最终评估结果: {'eval_loss': 0.6101630330085754, 'eval_accuracy': 0.7496291901512904, 'eval_runtime': 25.5189, 'eval_samples_per_second': 264.196, 'eval_steps_per_second': 16.537, 'epoch': 3.0}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  library_name: transformers
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  ---
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+ 最终评估结果:
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+ ======================================================================
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+ eval_loss............................... 0.9778
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+ eval_accuracy........................... 0.7857
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+ eval_precision.......................... 0.7908
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+ eval_recall............................. 0.7857
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+ eval_f1................................. 0.7875
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+ eval_1star_f1........................... 0.8641
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+ eval_2star_f1........................... 0.7324
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+ eval_3star_f1........................... 0.6420
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+ eval_4star_f1........................... 0.8471
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+ eval_5star_f1........................... 0.7903
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+ eval_runtime............................ 32.9546
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+ eval_samples_per_second................. 273.0120
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+ eval_steps_per_second................... 4.2790
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+ epoch................................... 6.0000
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+
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+ 详细分类报告:
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+ ======================================================================
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+ precision recall f1-score support
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+
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+ 1星 0.8581 0.8703 0.8641 1056
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+ 2星 0.7533 0.7127 0.7324 1615
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+ 3星 0.6075 0.6808 0.6420 1532
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+ 4星 0.8688 0.8265 0.8471 3822
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+ 5星 0.7627 0.8200 0.7903 972
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+
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+ accuracy 0.7857 8997
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+ macro avg 0.7701 0.7821 0.7752 8997
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+ weighted avg 0.7908 0.7857 0.7875 8997