ces-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0780
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 |
|---|---|---|---|
| 3.8384 | 1.0 | 273 | 3.4899 |
| 3.3305 | 2.0 | 546 | 3.3298 |
| 3.2071 | 3.0 | 819 | 3.2534 |
| 3.1187 | 4.0 | 1092 | 3.2048 |
| 3.0551 | 5.0 | 1365 | 3.1627 |
| 2.9954 | 6.0 | 1638 | 3.1302 |
| 2.9338 | 7.0 | 1911 | 3.1082 |
| 2.8972 | 8.0 | 2184 | 3.0919 |
| 2.8691 | 9.0 | 2457 | 3.0816 |
| 2.8392 | 10.0 | 2730 | 3.0780 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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