---
language:
- es
- guc
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_guc
  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_guc

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: 0.7552
- Bleu: 2.594
- Gen Len: 100.8294

## 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   | 381  | 1.0652          | 0.0167 | 19.0    |
| 1.5288        | 2.0   | 762  | 0.9339          | 0.0402 | 19.0    |
| 1.063         | 3.0   | 1143 | 0.8651          | 0.0311 | 19.0    |
| 0.9558        | 4.0   | 1524 | 0.8271          | 0.1018 | 19.0    |
| 0.9558        | 5.0   | 1905 | 0.8043          | 0.0744 | 19.0    |
| 0.8979        | 6.0   | 2286 | 0.7831          | 0.0786 | 19.0    |
| 0.8598        | 7.0   | 2667 | 0.7699          | 0.086  | 19.0    |
| 0.8346        | 8.0   | 3048 | 0.7630          | 0.0803 | 19.0    |
| 0.8346        | 9.0   | 3429 | 0.7572          | 0.1179 | 19.0    |
| 0.8194        | 10.0  | 3810 | 0.7552          | 0.1133 | 19.0    |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3