yue-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9588
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.2879 | 1.0 | 2611 | 5.4857 |
| 5.1894 | 2.0 | 5222 | 4.8233 |
| 4.7212 | 3.0 | 7833 | 4.5200 |
| 4.4634 | 4.0 | 10444 | 4.3407 |
| 4.2911 | 5.0 | 13055 | 4.2099 |
| 4.1625 | 6.0 | 15666 | 4.1231 |
| 4.0633 | 7.0 | 18277 | 4.0559 |
| 3.9885 | 8.0 | 20888 | 4.0051 |
| 3.9296 | 9.0 | 23499 | 3.9724 |
| 3.8894 | 10.0 | 26110 | 3.9588 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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