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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
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