xho-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7893
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 |
|---|---|---|---|
| 6.6762 | 1.0 | 677 | 6.0481 |
| 5.8309 | 2.0 | 1354 | 5.6057 |
| 5.4588 | 3.0 | 2031 | 5.3193 |
| 5.1853 | 4.0 | 2708 | 5.1302 |
| 4.9919 | 5.0 | 3385 | 5.0065 |
| 4.8472 | 6.0 | 4062 | 4.9189 |
| 4.7341 | 7.0 | 4739 | 4.8613 |
| 4.6503 | 8.0 | 5416 | 4.8202 |
| 4.584 | 9.0 | 6093 | 4.7977 |
| 4.5466 | 10.0 | 6770 | 4.7893 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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