ft-t5-small-with-opusbook
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6379
- Bleu: 5.6111
- Gen Len: 18.41
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 100 | 1.7152 | 5.1863 | 18.4475 |
| No log | 2.0 | 200 | 1.6713 | 5.3251 | 18.4225 |
| No log | 3.0 | 300 | 1.6510 | 5.4784 | 18.42 |
| No log | 4.0 | 400 | 1.6410 | 5.6158 | 18.39 |
| 1.9355 | 5.0 | 500 | 1.6379 | 5.6111 | 18.41 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1