t5-small-finetuned-es-pt
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: 2.9232
- Bleu: 0.0
- Gen Len: 6.0
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: 5.6e-05
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 10 | 3.4558 | 0.0 | 5.0 |
| No log | 2.0 | 20 | 3.1331 | 0.0 | 5.0 |
| No log | 3.0 | 30 | 3.0046 | 0.0 | 6.0 |
| No log | 4.0 | 40 | 2.9429 | 0.0 | 6.0 |
| No log | 5.0 | 50 | 2.9232 | 0.0 | 6.0 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1