---
base_model: IAmSkyDra/BARTBana_Before
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation
  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

This model is a fine-tuned version of [IAmSkyDra/BARTBana_Before](https://huggingface.co/IAmSkyDra/BARTBana_Before) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2217
- Sacrebleu: 11.6180

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.3516        | 1.0   | 742   | 0.3021          | 5.8020    |
| 0.3025        | 2.0   | 1484  | 0.2653          | 8.0597    |
| 0.2608        | 3.0   | 2226  | 0.2486          | 9.2952    |
| 0.2482        | 4.0   | 2968  | 0.2385          | 10.0088   |
| 0.2298        | 5.0   | 3710  | 0.2329          | 10.4466   |
| 0.2216        | 6.0   | 4452  | 0.2278          | 10.6724   |
| 0.2057        | 7.0   | 5194  | 0.2247          | 10.8809   |
| 0.1977        | 8.0   | 5936  | 0.2221          | 11.0972   |
| 0.1927        | 9.0   | 6678  | 0.2215          | 11.3121   |
| 0.1841        | 10.0  | 7420  | 0.2208          | 11.3804   |
| 0.1781        | 11.0  | 8162  | 0.2208          | 11.3954   |
| 0.1733        | 12.0  | 8904  | 0.2209          | 11.5012   |
| 0.1694        | 13.0  | 9646  | 0.2207          | 11.5774   |
| 0.166         | 14.0  | 10388 | 0.2214          | 11.5994   |
| 0.1626        | 15.0  | 11130 | 0.2217          | 11.6180   |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0