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byt5-base-es_pbb
This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8368
- Bleu: 2.9665
- Gen Len: 100.0518
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: 16
- seed: 65
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 397 | 1.1680 | 0.0083 | 19.0 |
| 1.7159 | 2.0 | 794 | 1.0287 | 0.0165 | 19.0 |
| 1.1916 | 3.0 | 1191 | 0.9632 | 0.0177 | 19.0 |
| 1.077 | 4.0 | 1588 | 0.9212 | 0.0307 | 19.0 |
| 1.077 | 5.0 | 1985 | 0.8921 | 0.0278 | 19.0 |
| 1.0159 | 6.0 | 2382 | 0.8694 | 0.0465 | 19.0 |
| 0.9723 | 7.0 | 2779 | 0.8543 | 0.0489 | 19.0 |
| 0.9457 | 8.0 | 3176 | 0.8452 | 0.0451 | 19.0 |
| 0.9276 | 9.0 | 3573 | 0.8381 | 0.0496 | 19.0 |
| 0.9276 | 10.0 | 3970 | 0.8368 | 0.048 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
