---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-small-finetuned-en-to-pt
  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-small-finetuned-en-to-pt

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4025
- Bleu: 5.1591
- Gen Len: 18.6818

## 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: 0.005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 0.6566        | 0.16  | 1000 | 0.5401          | 3.797  | 18.6912 |
| 0.5868        | 0.32  | 2000 | 0.4865          | 4.3681 | 18.6722 |
| 0.5369        | 0.48  | 3000 | 0.4504          | 4.6045 | 18.6858 |
| 0.5055        | 0.64  | 4000 | 0.4240          | 4.9816 | 18.6754 |
| 0.4693        | 0.8   | 5000 | 0.4058          | 5.1477 | 18.6782 |
| 0.4631        | 0.96  | 6000 | 0.4025          | 5.1591 | 18.6818 |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3