---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: VN_ja-en_byt5_small
  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. -->

# VN_ja-en_byt5_small

This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0552

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1687        | 0.1   | 2000  | 1.1805          |
| 0.9685        | 0.19  | 4000  | 1.1384          |
| 0.8989        | 0.29  | 6000  | 1.1207          |
| 0.8583        | 0.39  | 8000  | 1.1046          |
| 0.833         | 0.49  | 10000 | 1.1290          |
| 0.8102        | 0.58  | 12000 | 1.1225          |
| 0.7932        | 0.68  | 14000 | 1.0956          |
| 0.7776        | 0.78  | 16000 | 1.0970          |
| 0.762         | 0.88  | 18000 | 1.0992          |
| 0.7522        | 0.97  | 20000 | 1.0760          |
| 0.7318        | 1.07  | 22000 | 1.0579          |
| 0.7197        | 1.17  | 24000 | 1.0780          |
| 0.7142        | 1.27  | 26000 | 1.0748          |
| 0.7093        | 1.36  | 28000 | 1.0781          |
| 0.7005        | 1.46  | 30000 | 1.0756          |
| 0.6938        | 1.56  | 32000 | 1.0702          |
| 0.6896        | 1.65  | 34000 | 1.0563          |
| 0.6846        | 1.75  | 36000 | 1.0603          |
| 0.6807        | 1.85  | 38000 | 1.0626          |
| 0.6766        | 1.95  | 40000 | 1.0666          |
| 0.6649        | 2.04  | 42000 | 1.0694          |
| 0.6532        | 2.14  | 44000 | 1.0564          |
| 0.6501        | 2.24  | 46000 | 1.0715          |
| 0.6476        | 2.34  | 48000 | 1.0551          |
| 0.646         | 2.43  | 50000 | 1.0601          |
| 0.6445        | 2.53  | 52000 | 1.0595          |
| 0.6404        | 2.63  | 54000 | 1.0494          |
| 0.6378        | 2.72  | 56000 | 1.0584          |
| 0.636         | 2.82  | 58000 | 1.0531          |
| 0.6345        | 2.92  | 60000 | 1.0552          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1