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classification_tnews_100_per_class
This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on a subset of TNEWS dataset. It achieves the following results on the evaluation set:
- Loss: 1.0423
- Accuracy: 0.7133
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8994 | 1.0 | 150 | 1.2250 | 0.6733 |
| 0.9706 | 2.0 | 300 | 1.0644 | 0.6867 |
| 0.622 | 3.0 | 450 | 1.0083 | 0.6933 |
| 0.4115 | 4.0 | 600 | 1.0495 | 0.6867 |
| 0.2959 | 5.0 | 750 | 1.0423 | 0.7133 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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