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classification_tnews_arg
This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an augmented small subset of TNEWS dataset. It achieves the following results on the evaluation set:
- Loss: 1.1794
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3992 | 1.0 | 150 | 1.2185 | 0.66 |
| 0.1415 | 2.0 | 300 | 1.1324 | 0.6933 |
| 0.0376 | 3.0 | 450 | 1.1794 | 0.7133 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
