| base_model: HamzaNaser/Dialects-to-MSA-Transformer | |
| library_name: transformers | |
| license: mit | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: Dialects-to-MSA-Transformer | |
| 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. --> | |
| # Dialects-to-MSA-Transformer | |
| This model is a fine-tuned version of [HamzaNaser/Dialects-to-MSA-Transformer](https://huggingface.co/HamzaNaser/Dialects-to-MSA-Transformer) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5466 | |
| - Blue: 46.2134 | |
| ## 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: 4.5e-05 | |
| - train_batch_size: 48 | |
| - eval_batch_size: 48 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Blue | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 0.6811 | 1.0 | 8695 | 0.5466 | 46.2134 | | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.4.0+cu121 | |
| - Datasets 2.16.1 | |
| - Tokenizers 0.19.1 | |