| --- |
| library_name: peft |
| base_model: mohammed525671/final_arabic_grammarly_2 |
| tags: |
| - base_model:adapter:mohammed525671/final_arabic_grammarly_2 |
| - lora |
| - transformers |
| metrics: |
| - bleu |
| model-index: |
| - name: bayan_model_lora_phase2 |
| 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. --> |
|
|
| # bayan_model_lora_phase2 |
| |
| This model is a fine-tuned version of [mohammed525671/final_arabic_grammarly_2](https://huggingface.co/mohammed525671/final_arabic_grammarly_2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1149 |
| - Gleu: 0.2999 |
| - Bleu: 14.5429 |
| - Chrf++: 37.5397 |
| |
| ## 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: 0.0002 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - 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 |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 2 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Bleu | Chrf++ | Gleu | Validation Loss | |
| |:-------------:|:------:|:-----:|:-------:|:-------:|:------:|:---------------:| |
| | 0.8908 | 0.1170 | 1000 | 14.1593 | 37.2520 | 0.2953 | 0.1366 | |
| | 0.7238 | 0.2340 | 2000 | 14.1708 | 37.2646 | 0.2957 | 0.1321 | |
| | 0.7564 | 0.3510 | 3000 | 14.1906 | 37.2828 | 0.2960 | 0.1300 | |
| | 0.7263 | 0.4679 | 4000 | 14.2236 | 37.3122 | 0.2964 | 0.1303 | |
| | 0.7220 | 0.5849 | 5000 | 14.4788 | 37.4797 | 0.2989 | 0.1194 | |
| | 0.7334 | 0.7019 | 6000 | 14.4884 | 37.4898 | 0.2990 | 0.1191 | |
| | 0.6696 | 0.8189 | 7000 | 14.5069 | 37.5061 | 0.2993 | 0.1201 | |
| | 0.7510 | 0.9359 | 8000 | 14.5204 | 37.5154 | 0.2995 | 0.1178 | |
| | 0.6947 | 1.0529 | 9000 | 14.5004 | 37.4985 | 0.2994 | 0.1181 | |
| | 0.6888 | 1.1699 | 10000 | 14.5238 | 37.5202 | 0.2996 | 0.1160 | |
| | 0.7907 | 1.2869 | 11000 | 14.5383 | 37.5302 | 0.2998 | 0.1150 | |
| | 0.6893 | 1.4038 | 12000 | 0.1149 | 0.2999 | 14.5484| 37.5427 | |
| | 0.6581 | 1.5208 | 13000 | 0.1157 | 0.2999 | 14.5438| 37.5386 | |
| | 0.6910 | 1.6378 | 14000 | 0.1155 | 0.2999 | 14.5448| 37.5404 | |
| | 0.6837 | 1.7548 | 15000 | 0.1155 | 0.2999 | 14.5440| 37.5409 | |
| | 0.7107 | 1.8718 | 16000 | 0.1141 | 0.3000 | 14.5410| 37.5389 | |
| | 0.7501 | 1.9888 | 17000 | 0.1149 | 0.2999 | 14.5410| 37.5383 | |
| | 0.7501 | 2.0 | 17096 | 0.1149 | 0.2999 | 14.5429| 37.5397 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.19.1 |
| - Transformers 5.10.2 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
