| | --- |
| | library_name: transformers |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - sacrebleu |
| | model-index: |
| | - name: Bart-bahnar-Delete |
| | 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. --> |
| |
|
| | # Bart-bahnar-Delete |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 5.0654 |
| | - Sacrebleu: 3.7413 |
| |
|
| | ## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
| | |:-------------:|:-----:|:-----:|:---------------:|:---------:| |
| | | 1.6369 | 1.0 | 12946 | 4.6528 | 1.8142 | |
| | | 0.7931 | 2.0 | 25892 | 4.9139 | 3.1975 | |
| | | 0.5805 | 3.0 | 38838 | 5.0654 | 3.7413 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 5.0.0 |
| | - Pytorch 2.10.0+cu128 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.2 |
| | |
