---
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-large-translation-spa-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. -->

# t5-large-translation-spa-guc

This model is a fine-tuned version of [t5-large](https://huggingface.co./t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0832
- Bleu: 0.952
- Gen Len: 17.9397

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.3886        | 1.0   | 12889 | 1.2435          | 0.7737 | 17.9241 |
| 1.3043        | 2.0   | 25778 | 1.1197          | 0.9071 | 17.9235 |
| 1.2024        | 3.0   | 38667 | 1.0832          | 0.952  | 17.9397 |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0