my_first_translator_with_t5_small
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2895
- Bleu: 4.7205
- Gen Len: 19.1917
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 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 67 | 3.4051 | 3.2459 | 19.0526 |
| No log | 2.0 | 134 | 3.2895 | 4.7205 | 19.1917 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.6.0+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0