tur-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3347
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 |
|---|---|---|---|
| 4.2975 | 1.0 | 257 | 3.9801 |
| 3.7589 | 2.0 | 514 | 3.7717 |
| 3.5722 | 3.0 | 771 | 3.6300 |
| 3.4374 | 4.0 | 1028 | 3.5421 |
| 3.3237 | 5.0 | 1285 | 3.4697 |
| 3.2417 | 6.0 | 1542 | 3.4171 |
| 3.1586 | 7.0 | 1799 | 3.3803 |
| 3.1151 | 8.0 | 2056 | 3.3548 |
| 3.0592 | 9.0 | 2313 | 3.3407 |
| 3.0403 | 10.0 | 2570 | 3.3347 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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