---
base_model: IAmSkyDra/BARTBana_v3
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_v3
  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_v3

This model is a fine-tuned version of [IAmSkyDra/BARTBana_v3](https://huggingface.co/IAmSkyDra/BARTBana_v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4571
- Sacrebleu: 11.0566

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 0.7013        | 1.0   | 742  | 0.6063          | 6.2147    |
| 0.6067        | 2.0   | 1484 | 0.5359          | 8.3509    |
| 0.5273        | 3.0   | 2226 | 0.5025          | 9.5105    |
| 0.5043        | 4.0   | 2968 | 0.4846          | 10.0064   |
| 0.4699        | 5.0   | 3710 | 0.4747          | 10.4437   |
| 0.4558        | 6.0   | 4452 | 0.4658          | 10.6266   |
| 0.4296        | 7.0   | 5194 | 0.4613          | 10.8692   |
| 0.417         | 8.0   | 5936 | 0.4582          | 10.9131   |
| 0.4127        | 9.0   | 6678 | 0.4567          | 11.0361   |
| 0.4021        | 10.0  | 7420 | 0.4571          | 11.0566   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0