metadata
license: mit
base_model: VietAI/ViT5-base
tags:
- generated_from_trainer
model-index:
- name: ViNormT5
results: []
ViNormT5
This model is a fine-tuned version of VietAI/ViT5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2171
- Bleu Score: 75.3569
- Gen Len: 13.1514
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: 0.0002
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
|---|---|---|---|---|---|
| 0.4669 | 1.0 | 524 | 0.2426 | 73.5538 | 13.1838 |
| 0.1732 | 2.0 | 1048 | 0.2127 | 74.877 | 13.1457 |
| 0.0691 | 3.0 | 1572 | 0.2171 | 75.3569 | 13.1514 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1