---
language:
- es
- ngu
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_ngu
  results: []
---

<!-- 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_ngu

This model is a fine-tuned version of [google/byt5-base](https://huggingface.co/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