min-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2360
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 |
|---|---|---|---|
| 6.9373 | 1.0 | 975 | 6.4166 |
| 6.184 | 2.0 | 1950 | 6.0327 |
| 5.8481 | 3.0 | 2925 | 5.7963 |
| 5.5832 | 4.0 | 3900 | 5.6209 |
| 5.3549 | 5.0 | 4875 | 5.4826 |
| 5.1632 | 6.0 | 5850 | 5.3827 |
| 5.0034 | 7.0 | 6825 | 5.3136 |
| 4.875 | 8.0 | 7800 | 5.2702 |
| 4.7775 | 9.0 | 8775 | 5.2427 |
| 4.71 | 10.0 | 9750 | 5.2360 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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