---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- mt_eng_vietnamese
metrics:
- bleu
model-index:
- name: basso4_eng_to_vie_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: mt_eng_vietnamese
      type: mt_eng_vietnamese
      config: iwslt2015-en-vi
      split: train
      args: iwslt2015-en-vi
    metrics:
    - name: Bleu
      type: bleu
      value: 0.2843
---

<!-- 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. -->

# basso4_eng_to_vie_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the mt_eng_vietnamese dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4992
- Bleu: 0.2843
- Gen Len: 18.7733

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.7028        | 1.0   | 6666  | 1.5587          | 0.1992 | 18.7357 |
| 1.6335        | 2.0   | 13332 | 1.4992          | 0.2843 | 18.7733 |


### Framework versions

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