---
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: 1.3777
---

<!-- 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 was trained from scratch on the mt_eng_vietnamese dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9999
- Bleu: 1.3777
- Gen Len: 18.7953

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.3485        | 1.0   | 6666  | 1.2151          | 0.9294 | 18.7893 |
| 1.2969        | 2.0   | 13332 | 1.1510          | 1.0593 | 18.7881 |
| 1.2426        | 3.0   | 19998 | 1.1053          | 1.1598 | 18.7873 |
| 1.2067        | 4.0   | 26664 | 1.0713          | 1.2393 | 18.789  |
| 1.1809        | 5.0   | 33330 | 1.0469          | 1.2853 | 18.7894 |
| 1.1575        | 6.0   | 39996 | 1.0288          | 1.3227 | 18.7899 |
| 1.1407        | 7.0   | 46662 | 1.0154          | 1.3405 | 18.7937 |
| 1.1295        | 8.0   | 53328 | 1.0071          | 1.3657 | 18.7943 |
| 1.1241        | 9.0   | 59994 | 1.0014          | 1.3753 | 18.7953 |
| 1.1209        | 10.0  | 66660 | 0.9999          | 1.3777 | 18.7953 |


### Framework versions

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