ron-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4985
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 |
|---|---|---|---|
| 4.5307 | 1.0 | 2575 | 4.2853 |
| 4.0154 | 2.0 | 5150 | 4.0245 |
| 3.7347 | 3.0 | 7725 | 3.8407 |
| 3.5476 | 4.0 | 10300 | 3.7169 |
| 3.3904 | 5.0 | 12875 | 3.6309 |
| 3.256 | 6.0 | 15450 | 3.5674 |
| 3.1352 | 7.0 | 18025 | 3.5303 |
| 3.0638 | 8.0 | 20600 | 3.5126 |
| 2.968 | 9.0 | 23175 | 3.5020 |
| 2.9011 | 10.0 | 25750 | 3.4985 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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