output_loss_only
This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3426
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7587 | 0.4 | 100 | 1.5070 |
| 1.6074 | 0.8 | 200 | 1.4301 |
| 1.4991 | 1.2 | 300 | 1.3961 |
| 1.4815 | 1.6 | 400 | 1.3718 |
| 1.4502 | 2.0 | 500 | 1.3557 |
| 1.3857 | 2.4 | 600 | 1.3490 |
| 1.399 | 2.8 | 700 | 1.3426 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1
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Base model
VietAI/vit5-base