metadata
language:
- es
- kbh
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_kbh
results: []
byt5-base-es_kbh
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: 0.7315
- Bleu: 5.1736
- Gen Len: 100.0266
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 | 395 | 1.0572 | 0.0232 | 19.0 |
| 1.5347 | 2.0 | 790 | 0.9249 | 0.1035 | 19.0 |
| 1.0539 | 3.0 | 1185 | 0.8549 | 0.1313 | 19.0 |
| 0.9461 | 4.0 | 1580 | 0.8109 | 0.1392 | 19.0 |
| 0.9461 | 5.0 | 1975 | 0.7860 | 0.1545 | 19.0 |
| 0.8824 | 6.0 | 2370 | 0.7620 | 0.1756 | 19.0 |
| 0.8447 | 7.0 | 2765 | 0.7495 | 0.1705 | 19.0 |
| 0.814 | 8.0 | 3160 | 0.7384 | 0.14 | 19.0 |
| 0.8031 | 9.0 | 3555 | 0.7331 | 0.1807 | 19.0 |
| 0.8031 | 10.0 | 3950 | 0.7315 | 0.1841 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3