---
base_model: IAmSkyDra/BARTBana_v4
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_Finetune_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_Finetune_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: 0.4295
- Sacrebleu: 7.5050

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 0.6831        | 1.0   | 468  | 0.5818          | 3.2556    |
| 0.566         | 2.0   | 936  | 0.5188          | 4.6548    |
| 0.5127        | 3.0   | 1404 | 0.4878          | 5.3508    |
| 0.4804        | 4.0   | 1872 | 0.4683          | 5.8657    |
| 0.4558        | 5.0   | 2340 | 0.4551          | 6.2975    |
| 0.433         | 6.0   | 2808 | 0.4450          | 6.4311    |
| 0.4146        | 7.0   | 3276 | 0.4420          | 6.7296    |
| 0.3969        | 8.0   | 3744 | 0.4365          | 6.9791    |
| 0.3911        | 9.0   | 4212 | 0.4332          | 7.1487    |
| 0.3742        | 10.0  | 4680 | 0.4302          | 7.2803    |
| 0.3686        | 11.0  | 5148 | 0.4292          | 7.3851    |
| 0.3568        | 12.0  | 5616 | 0.4296          | 7.4003    |
| 0.3505        | 13.0  | 6084 | 0.4292          | 7.4202    |
| 0.3503        | 14.0  | 6552 | 0.4289          | 7.4984    |
| 0.3453        | 15.0  | 7020 | 0.4295          | 7.5050    |


### Framework versions

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