metadata
language:
- es
- ngu
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_ngu
results: []
byt5-base-es_ngu
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: 0.6839
- Bleu: 8.2072
- Gen Len: 97.5599
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 | 1.0434 | 0.0481 | 19.0 |
| 1.5127 | 2.0 | 794 | 0.9015 | 0.0772 | 19.0 |
| 1.0539 | 3.0 | 1191 | 0.8207 | 0.0991 | 19.0 |
| 0.932 | 4.0 | 1588 | 0.7716 | 0.0925 | 19.0 |
| 0.932 | 5.0 | 1985 | 0.7394 | 0.1292 | 19.0 |
| 0.8578 | 6.0 | 2382 | 0.7168 | 0.1101 | 19.0 |
| 0.8102 | 7.0 | 2779 | 0.6981 | 0.1465 | 19.0 |
| 0.7837 | 8.0 | 3176 | 0.6898 | 0.1574 | 19.0 |
| 0.7597 | 9.0 | 3573 | 0.6846 | 0.1562 | 19.0 |
| 0.7597 | 10.0 | 3970 | 0.6839 | 0.1592 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3