transformers safetensors mbart text2text-generation generated_from_trainer base_model:IAmSkyDra/BARTBana_v4 base_model:finetune:IAmSkyDra/BARTBana_v4 license:mit autotrain_compatible endpoints_compatible region:us
---
base_model: IAmSkyDra/BARTBana_v4
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_Combine_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_Combine_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: 0.1545
- Sacrebleu: 5.5764

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.8206        | 1.0   | 1679  | 0.6480          | 2.0977    |
| 0.5392        | 2.0   | 3358  | 0.4147          | 3.4953    |
| 0.4049        | 3.0   | 5037  | 0.3119          | 4.1284    |
| 0.3258        | 4.0   | 6716  | 0.2541          | 4.6844    |
| 0.2745        | 5.0   | 8395  | 0.2159          | 5.0042    |
| 0.2374        | 6.0   | 10074 | 0.1904          | 5.2016    |
| 0.2125        | 7.0   | 11753 | 0.1733          | 5.3922    |
| 0.1969        | 8.0   | 13432 | 0.1632          | 5.4647    |
| 0.1866        | 9.0   | 15111 | 0.1571          | 5.5543    |
| 0.1774        | 10.0  | 16790 | 0.1545          | 5.5764    |


### Framework versions

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