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byt5-base-es_guc
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: 0.7552
- Bleu: 2.594
- Gen Len: 100.8294
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 | 381 | 1.0652 | 0.0167 | 19.0 |
| 1.5288 | 2.0 | 762 | 0.9339 | 0.0402 | 19.0 |
| 1.063 | 3.0 | 1143 | 0.8651 | 0.0311 | 19.0 |
| 0.9558 | 4.0 | 1524 | 0.8271 | 0.1018 | 19.0 |
| 0.9558 | 5.0 | 1905 | 0.8043 | 0.0744 | 19.0 |
| 0.8979 | 6.0 | 2286 | 0.7831 | 0.0786 | 19.0 |
| 0.8598 | 7.0 | 2667 | 0.7699 | 0.086 | 19.0 |
| 0.8346 | 8.0 | 3048 | 0.7630 | 0.0803 | 19.0 |
| 0.8346 | 9.0 | 3429 | 0.7572 | 0.1179 | 19.0 |
| 0.8194 | 10.0 | 3810 | 0.7552 | 0.1133 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
