<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
byt5-base-es_kog
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: 0.8694
- Bleu: 1.878
- Gen Len: 100.4987
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 | 1.1707 | 0.0631 | 19.0 |
| 1.6442 | 2.0 | 794 | 1.0400 | 0.1214 | 19.0 |
| 1.1712 | 3.0 | 1191 | 0.9847 | 0.1063 | 19.0 |
| 1.0724 | 4.0 | 1588 | 0.9467 | 0.1209 | 19.0 |
| 1.0724 | 5.0 | 1985 | 0.9176 | 0.1059 | 19.0 |
| 1.016 | 6.0 | 2382 | 0.8977 | 0.1166 | 19.0 |
| 0.9799 | 7.0 | 2779 | 0.8852 | 0.1481 | 19.0 |
| 0.9553 | 8.0 | 3176 | 0.8748 | 0.1381 | 19.0 |
| 0.9386 | 9.0 | 3573 | 0.8716 | 0.1294 | 19.0 |
| 0.9386 | 10.0 | 3970 | 0.8694 | 0.1337 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
