metadata
base_model: IAmSkyDra/BARTBana_v4
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_v51
results: []
BARTBana_Translation_v51
This model is a fine-tuned version of IAmSkyDra/BARTBana_v4 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4505
- Sacrebleu: 11.7970
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.6917 | 1.0 | 742 | 0.5995 | 6.7000 |
| 0.6008 | 2.0 | 1484 | 0.5330 | 8.7480 |
| 0.5208 | 3.0 | 2226 | 0.4989 | 9.7564 |
| 0.4962 | 4.0 | 2968 | 0.4808 | 10.3233 |
| 0.46 | 5.0 | 3710 | 0.4711 | 10.7276 |
| 0.4428 | 6.0 | 4452 | 0.4615 | 10.9196 |
| 0.4125 | 7.0 | 5194 | 0.4566 | 11.2077 |
| 0.3955 | 8.0 | 5936 | 0.4515 | 11.3811 |
| 0.3856 | 9.0 | 6678 | 0.4496 | 11.5736 |
| 0.3687 | 10.0 | 7420 | 0.4482 | 11.5727 |
| 0.3553 | 11.0 | 8162 | 0.4496 | 11.6036 |
| 0.3467 | 12.0 | 8904 | 0.4508 | 11.6907 |
| 0.3386 | 13.0 | 9646 | 0.4505 | 11.7970 |
| 0.3324 | 14.0 | 10388 | 0.4510 | 11.7524 |
| 0.3245 | 15.0 | 11130 | 0.4528 | 11.7921 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0