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byt5-base-es_sja
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: 0.7290
- Bleu: 4.2147
- Gen Len: 99.2837
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 | 1.0329 | 0.0222 | 19.0 |
| 1.5198 | 2.0 | 794 | 0.9034 | 0.0395 | 19.0 |
| 1.0351 | 3.0 | 1191 | 0.8492 | 0.0686 | 19.0 |
| 0.9326 | 4.0 | 1588 | 0.8077 | 0.0832 | 19.0 |
| 0.9326 | 5.0 | 1985 | 0.7786 | 0.0983 | 19.0 |
| 0.8785 | 6.0 | 2382 | 0.7610 | 0.0606 | 19.0 |
| 0.8436 | 7.0 | 2779 | 0.7446 | 0.065 | 19.0 |
| 0.8153 | 8.0 | 3176 | 0.7361 | 0.0618 | 19.0 |
| 0.7987 | 9.0 | 3573 | 0.7306 | 0.068 | 19.0 |
| 0.7987 | 10.0 | 3970 | 0.7290 | 0.0616 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
