metadata
library_name: transformers
license: mit
base_model: IAmSkyDra/BARTBana_v5
tags:
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: VieBahnar
results: []
VieBahnar
This model is a fine-tuned version of IAmSkyDra/BARTBana_v5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8130
- Sacrebleu: 0.6372
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 | Sacrebleu |
|---|---|---|---|---|
| 2.5015 | 1.0 | 812 | 4.0753 | 0.4328 |
| 2.2409 | 2.0 | 1624 | 3.8791 | 0.5922 |
| 2.1494 | 3.0 | 2436 | 3.8130 | 0.6372 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2