---
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