---
base_model: IAmSkyDra/BARTBana_v4
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_v51
  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_v51

This model is a fine-tuned version of [IAmSkyDra/BARTBana_v4](https://huggingface.co/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