model-classification-t5-small-2025-10-22
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0571
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: 16
- eval_batch_size: 256
- 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 |
|---|---|---|---|
| 0.2498 | 1.0 | 1637 | 0.2020 |
| 0.1866 | 2.0 | 3274 | 0.1579 |
| 0.1632 | 3.0 | 4911 | 0.1306 |
| 0.122 | 4.0 | 6548 | 0.1043 |
| 0.1359 | 5.0 | 8185 | 0.0857 |
| 0.1098 | 6.0 | 9822 | 0.0740 |
| 0.0986 | 7.0 | 11459 | 0.0660 |
| 0.0969 | 8.0 | 13096 | 0.0607 |
| 0.0894 | 9.0 | 14733 | 0.0585 |
| 0.0896 | 10.0 | 16370 | 0.0571 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1