testing_mt5-ha2zh-translation
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 17.4027
- Bleu: 0.0
- Ter: 123.9865
- Chrf: 0.0587
- Bertscore Precision: 0.4933
- Bertscore Recall: 0.4781
- Bertscore F1: 0.4852
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Ter | Chrf | Bertscore Precision | Bertscore Recall | Bertscore F1 |
|---|---|---|---|---|---|---|---|---|---|
| 26.555 | 1.0 | 63 | 17.4027 | 0.0 | 123.9865 | 0.0587 | 0.4933 | 0.4781 | 0.4852 |
| 23.3851 | 2.0 | 126 | 15.8128 | 0.0 | 125.3378 | 0.0587 | 0.4934 | 0.4783 | 0.4853 |
| 21.9346 | 3.0 | 189 | 15.2208 | 0.0 | 133.7838 | 0.0588 | 0.4930 | 0.4785 | 0.4853 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0