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_DeleteBase_v0
  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_DeleteBase_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: 0.4460
- Sacrebleu: 4.8908

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.7976        | 1.0   | 748   | 0.7130          | 2.2026    |
| 0.6905        | 2.0   | 1496  | 0.6247          | 2.8736    |
| 0.6189        | 3.0   | 2244  | 0.5805          | 3.2935    |
| 0.5677        | 4.0   | 2992  | 0.5484          | 3.6212    |
| 0.5304        | 5.0   | 3740  | 0.5260          | 3.9386    |
| 0.5018        | 6.0   | 4488  | 0.5084          | 4.1127    |
| 0.4756        | 7.0   | 5236  | 0.4935          | 4.2759    |
| 0.4576        | 8.0   | 5984  | 0.4810          | 4.4265    |
| 0.4336        | 9.0   | 6732  | 0.4720          | 4.6182    |
| 0.422         | 10.0  | 7480  | 0.4645          | 4.6528    |
| 0.4124        | 11.0  | 8228  | 0.4567          | 4.7800    |
| 0.3921        | 12.0  | 8976  | 0.4516          | 4.7846    |
| 0.3894        | 13.0  | 9724  | 0.4479          | 4.8671    |
| 0.3809        | 14.0  | 10472 | 0.4464          | 4.8673    |
| 0.3745        | 15.0  | 11220 | 0.4460          | 4.8908    |


### Framework versions

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