model-classification-t5-small-2025-10-21
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1497
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.228 | 1.0 | 1183 | 0.2362 |
| 0.2405 | 2.0 | 2366 | 0.1754 |
| 0.187 | 3.0 | 3549 | 0.1693 |
| 0.192 | 4.0 | 4732 | 0.1608 |
| 0.1757 | 5.0 | 5915 | 0.1566 |
| 0.1734 | 6.0 | 7098 | 0.1525 |
| 0.1547 | 7.0 | 8281 | 0.1522 |
| 0.182 | 8.0 | 9464 | 0.1520 |
| 0.1876 | 9.0 | 10647 | 0.1502 |
| 0.1546 | 10.0 | 11830 | 0.1497 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1