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: 0.2178
- Bleu Score: 78.7261
- Gen Len: 12.7826
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: 0.0001
- 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 |
|---|---|---|---|---|---|
| 0.4635 | 1.0 | 419 | 0.2255 | 77.2678 | 12.7969 |
| 0.166 | 2.0 | 838 | 0.2026 | 78.2851 | 12.8041 |
| 0.0752 | 3.0 | 1257 | 0.2178 | 78.7261 | 12.7826 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for meoo225/ViNormT5
Base model
VietAI/vit5-base