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: 0.2258
- Bleu Score: 74.0954
- Gen Len: 13.1876
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
|---|---|---|---|---|---|
| 0.4338 | 1.0 | 524 | 0.2258 | 74.0954 | 13.1876 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1