---
base_model: IAmSkyDra/BARTBana_v4
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_Swap_v0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BARTBana_Translation_Swap_v0

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: 0.0094
- Sacrebleu: 21.0811

## 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: 100
- eval_batch_size: 100
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.0167        | 1.0   | 21086 | 0.0149          | 20.8485   |
| 0.0148        | 2.0   | 42172 | 0.0109          | 20.9983   |
| 0.0103        | 3.0   | 63258 | 0.0094          | 21.0811   |


### Framework versions

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