bayan_model_lora_phase2

mohammedahmedezz2004/bayan_model_lora_phase2

bayan_model_lora_phase2 is a machine learning model from mohammedahmedezz2004. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

17% of all-time downloads

All-time downloads

Public

Repo size

321 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.pt214 MB · 47%

At a glance

Library: peft
Access: Public
Created: Jun 16, 2026
Updated: Jun 17, 2026
SHA: c31fec1a

Base models

mohammed525671/final_arabic_grammarly_2

Model card

From the Hugging Face model README

bayan_model_lora_phase2

This model is a fine-tuned version of 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

Library: peft
Created: Jun 16, 2026
Updated: Jun 17, 2026