| --- |
| library_name: transformers |
| license: mit |
| base_model: FiveC/BartTay |
| tags: |
| - generated_from_trainer |
| metrics: |
| - sacrebleu |
| model-index: |
| - name: BartTayFinal-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. --> |
|
|
| # BartTayFinal-delete |
|
|
| This model is a fine-tuned version of [FiveC/BartTay](https://huggingface.co/FiveC/BartTay) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1115 |
| - Sacrebleu: 31.7766 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - 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 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:| |
| | 0.0983 | 1.0 | 5485 | 0.1203 | 25.6868 | |
| | 0.0688 | 2.0 | 10970 | 0.1115 | 30.6897 | |
| | 0.0571 | 3.0 | 16455 | 0.1115 | 31.7766 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.0 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.2.0 |
| - Tokenizers 0.22.1 |
| |
