metadata
language:
- es
- cbv
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_cbv
results: []
byt5-base-es_cbv
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: 0.6675
- Bleu: 5.5318
- Gen Len: 100.3826
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 | 386 | 0.9372 | 0.0256 | 19.0 |
| 1.4765 | 2.0 | 772 | 0.8219 | 0.0303 | 19.0 |
| 0.9443 | 3.0 | 1158 | 0.7708 | 0.022 | 19.0 |
| 0.8436 | 4.0 | 1544 | 0.7288 | 0.0562 | 19.0 |
| 0.8436 | 5.0 | 1930 | 0.7091 | 0.0469 | 19.0 |
| 0.7916 | 6.0 | 2316 | 0.6926 | 0.0464 | 19.0 |
| 0.7568 | 7.0 | 2702 | 0.6799 | 0.0536 | 19.0 |
| 0.7403 | 8.0 | 3088 | 0.6737 | 0.0547 | 19.0 |
| 0.7403 | 9.0 | 3474 | 0.6667 | 0.0532 | 19.0 |
| 0.7215 | 10.0 | 3860 | 0.6675 | 0.056 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3