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---
base_model: IAmSkyDra/BARTBana_v5
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_v50
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BARTBana_Translation_v50
This model is a fine-tuned version of [IAmSkyDra/BARTBana_v5](https://huggingface.co/IAmSkyDra/BARTBana_v5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4529
- Sacrebleu: 11.3538
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.7129 | 1.0 | 742 | 0.6236 | 4.9074 |
| 0.6174 | 2.0 | 1484 | 0.5494 | 7.5076 |
| 0.5369 | 3.0 | 2226 | 0.5121 | 8.8742 |
| 0.5094 | 4.0 | 2968 | 0.4908 | 9.6042 |
| 0.4722 | 5.0 | 3710 | 0.4776 | 10.1784 |
| 0.4548 | 6.0 | 4452 | 0.4667 | 10.4266 |
| 0.4253 | 7.0 | 5194 | 0.4624 | 10.7054 |
| 0.408 | 8.0 | 5936 | 0.4566 | 10.8654 |
| 0.3979 | 9.0 | 6678 | 0.4518 | 11.0410 |
| 0.381 | 10.0 | 7420 | 0.4508 | 11.1446 |
| 0.3689 | 11.0 | 8162 | 0.4508 | 11.1509 |
| 0.3595 | 12.0 | 8904 | 0.4524 | 11.2866 |
| 0.3511 | 13.0 | 9646 | 0.4513 | 11.3042 |
| 0.3451 | 14.0 | 10388 | 0.4519 | 11.3478 |
| 0.3367 | 15.0 | 11130 | 0.4529 | 11.3538 |
### Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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