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---
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
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