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byt5-base-es_azz
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: 0.6919
- Bleu: 5.6493
- Gen Len: 100.7258
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 | 398 | 1.0151 | 0.1174 | 19.0 |
| 1.4581 | 2.0 | 796 | 0.8914 | 0.1875 | 19.0 |
| 1.0266 | 3.0 | 1194 | 0.8158 | 0.192 | 19.0 |
| 0.9168 | 4.0 | 1592 | 0.7706 | 0.2543 | 19.0 |
| 0.9168 | 5.0 | 1990 | 0.7434 | 0.3107 | 19.0 |
| 0.857 | 6.0 | 2388 | 0.7259 | 0.2904 | 19.0 |
| 0.8163 | 7.0 | 2786 | 0.7096 | 0.308 | 19.0 |
| 0.7885 | 8.0 | 3184 | 0.6969 | 0.2693 | 19.0 |
| 0.7718 | 9.0 | 3582 | 0.6932 | 0.3197 | 19.0 |
| 0.7718 | 10.0 | 3980 | 0.6919 | 0.2997 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
