---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- tatoeba
metrics:
- bleu
model-index:
- name: MLEAFIT_es2ptT5
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: tatoeba
      type: tatoeba
      config: es-pt
      split: train
      args: es-pt
    metrics:
    - name: Bleu
      type: bleu
      value: 11.2994
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MLEAFIT_es2ptT5

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the tatoeba dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7472
- Bleu: 11.2994
- Gen Len: 15.8838

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.6856        | 1.0   | 858  | 1.9674          | 8.9672  | 15.7279 |
| 2.1422        | 2.0   | 1716 | 1.7900          | 10.7687 | 15.8897 |
| 2.0298        | 3.0   | 2574 | 1.7472          | 11.2994 | 15.8838 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3