transformers safetensors mbart text2text-generation generated_from_trainer base_model:IAmSkyDra/BARTBana_v5 base_model:finetune:IAmSkyDra/BARTBana_v5 license:mit autotrain_compatible endpoints_compatible region:us
---
base_model: IAmSkyDra/BARTBana_v5
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_v50
  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_v50

This model is a fine-tuned version of [IAmSkyDra/BARTBana_v5](https://huggingface.co/IAmSkyDra/BARTBana_v5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4529
- Sacrebleu: 11.3538

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.7129        | 1.0   | 742   | 0.6236          | 4.9074    |
| 0.6174        | 2.0   | 1484  | 0.5494          | 7.5076    |
| 0.5369        | 3.0   | 2226  | 0.5121          | 8.8742    |
| 0.5094        | 4.0   | 2968  | 0.4908          | 9.6042    |
| 0.4722        | 5.0   | 3710  | 0.4776          | 10.1784   |
| 0.4548        | 6.0   | 4452  | 0.4667          | 10.4266   |
| 0.4253        | 7.0   | 5194  | 0.4624          | 10.7054   |
| 0.408         | 8.0   | 5936  | 0.4566          | 10.8654   |
| 0.3979        | 9.0   | 6678  | 0.4518          | 11.0410   |
| 0.381         | 10.0  | 7420  | 0.4508          | 11.1446   |
| 0.3689        | 11.0  | 8162  | 0.4508          | 11.1509   |
| 0.3595        | 12.0  | 8904  | 0.4524          | 11.2866   |
| 0.3511        | 13.0  | 9646  | 0.4513          | 11.3042   |
| 0.3451        | 14.0  | 10388 | 0.4519          | 11.3478   |
| 0.3367        | 15.0  | 11130 | 0.4529          | 11.3538   |


### Framework versions

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