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license: apache-2.0
language:
- zh
metrics:
- accuracy
base_model:
- google-bert/bert-base-chinese
pipeline_tag: text-classification
library_name: transformers
---
```
评估结果:
--------------------------------------------------
eval_loss.......................... 0.9872
eval_accuracy...................... 0.7845
eval_precision..................... 0.7861
eval_recall........................ 0.7845
eval_f1............................ 0.7851
eval_1star_f1...................... 0.8589
eval_2star_f1...................... 0.7269
eval_3star_f1...................... 0.6344
eval_4star_f1...................... 0.8488
eval_5star_f1...................... 0.7884
eval_runtime....................... 32.6454
eval_samples_per_second............ 275.5980
eval_steps_per_second.............. 4.3190
epoch.............................. 6.0000
分类报告（每类详细指标）:
======================================================================
precision recall f1-score support
1星 0.8533 0.8646 0.8589 1056
2星 0.7451 0.7096 0.7269 1615
3星 0.6194 0.6501 0.6344 1532
4星 0.8570 0.8407 0.8488 3822
5星 0.7655 0.8128 0.7884 972
accuracy 0.7845 8997
macro avg 0.7681 0.7755 0.7715 8997
weighted avg 0.7861 0.7845 0.7851 8997
每类性能分析:
----------------------------------------------------------------------
类别 样本数 精确率 召回率 F1分数
----------------------------------------------------------------------
1星 1056 0.8533 0.8646 0.8589
2星 1615 0.7451 0.7096 0.7269
3星 1532 0.6194 0.6501 0.6344
4星 3822 0.8570 0.8407 0.8488
5星 972 0.7655 0.8128 0.7884
``` |