jav-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7215
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: 8
- 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 |
|---|---|---|---|
| 6.4416 | 1.0 | 1844 | 5.8925 |
| 5.6559 | 2.0 | 3688 | 5.5060 |
| 5.2874 | 3.0 | 5532 | 5.2281 |
| 4.997 | 4.0 | 7376 | 5.0442 |
| 4.7839 | 5.0 | 9220 | 4.9223 |
| 4.6174 | 6.0 | 11064 | 4.8425 |
| 4.4811 | 7.0 | 12908 | 4.7860 |
| 4.3688 | 8.0 | 14752 | 4.7507 |
| 4.2817 | 9.0 | 16596 | 4.7275 |
| 4.2229 | 10.0 | 18440 | 4.7215 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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