RobCaamano/T5_En_to_Es_Take2
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5949
- Validation Loss: 0.5687
- Train Bleu: 18.1264
- Train Gen Len: 53.5263
- Epoch: 8
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
|---|---|---|---|---|
| 1.0171 | 0.7827 | 9.3294 | 57.7548 | 0 |
| 0.8284 | 0.7058 | 12.1991 | 56.1406 | 1 |
| 0.7588 | 0.6633 | 13.9507 | 55.3832 | 2 |
| 0.7134 | 0.6363 | 15.0824 | 54.9393 | 3 |
| 0.6799 | 0.6153 | 16.0321 | 54.3347 | 4 |
| 0.6529 | 0.5995 | 16.6384 | 54.1043 | 5 |
| 0.6308 | 0.5862 | 17.2840 | 53.9972 | 6 |
| 0.6116 | 0.5753 | 17.6554 | 53.8169 | 7 |
| 0.5949 | 0.5687 | 18.1264 | 53.5263 | 8 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.10.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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