---
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: VietAI-NLP-ITN
  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. -->

# VietAI-NLP-ITN

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4378
- Bleu: 81.8571

## 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: 5e-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
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.6529        | 1.0   | 31250  | 0.5660          | 78.7315 |
| 0.5125        | 2.0   | 62500  | 0.4770          | 81.3979 |
| 0.4798        | 3.0   | 93750  | 0.4554          | 81.6720 |
| 0.4568        | 4.0   | 125000 | 0.4435          | 81.7753 |
| 0.4387        | 5.0   | 156250 | 0.4378          | 81.8571 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.10.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1