classification_tnews_more_imbalanced
This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an imbalanced subset of TNEWS dataset. It achieves the following results on the evaluation set:
- Loss: 1.1420
- Accuracy: 0.7267
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 |
|---|---|---|---|---|
| 0.6696 | 1.0 | 142 | 1.0848 | 0.6667 |
| 0.3882 | 2.0 | 284 | 1.0941 | 0.68 |
| 0.2463 | 3.0 | 426 | 1.0852 | 0.6933 |
| 0.1497 | 4.0 | 568 | 1.1248 | 0.72 |
| 0.0926 | 5.0 | 710 | 1.1420 | 0.7267 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2