Update README.md

README.md

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 base_model:
 - Qwen/Qwen3-VL-2B-Instruct
 tags:
-- text-generation-inference
-- transformers
-- qwen3_vl
 - ocr
+- qwen3_vl
+- persian
+- arabic
+- text-line-ocr
 - Optical Character Recognition
 - vision-language
+- vl
+- persian-ocr
+- arabic-ocr
+- farsi
 license: apache-2.0
 language:
 - en
-- ar
 - fa
+- ar
 datasets:
 - mohajesmaeili/Persian_Arabic_TextLine_Image_Ocr_Small
 pipeline_tag: image-to-text
----
+---
+# Persian/Arabic OCR - Qwen3-VL-2B-Instruct - v1.0
+
+This is a **16-bit version** of **Qwen/Qwen3-VL-2B-Instruct** fine-tuned specifically for Persian text recognition (OCR) on **individual text lines**. 
+The model has been trained exclusively on cropped single-line text images and is **not designed for full-page OCR**.
+
+## Training Details
+
+- **Dataset**:
+  - 56,000 real Persian text line images
+  - 100,000 synthetic images (47 fonts in 3 diffrent sizes) with clean and noisy/colored backgrounds
+- **Total Examples**: 156k text line images
+- **Epochs**: 1
+- **LoRA Rank**: 512
+- **Batch Size**: 100 
+- **Learning Rate**: 2e-4
+- **Trainable Parameters**: 759,169,024 (26.30% of total parameters)
+
+## Training Performance
+
+Training loss decreased steadily, ending at approximately **0.071**.
+
+| Step   | Training Loss |
+|--------|---------------|
+| 0      | 2.2102        |
+| 100    | 0.1577        |
+| 200    | 0.1384        |
+| 300    | 0.1330        |
+| 400    | 0.1208        |
+| 500    | 0.1078        |
+| 600    | 0.1080        |
+| 700    | 0.1065        |
+| 800    | 0.0980        |
+| 900    | 0.0871        |
+| 1000   | 0.0827        |
+| 1100   | 0.0802        |
+| 1200   | 0.0898        |
+| 1300   | 0.0866        |
+| 1400   | 0.0811        |
+| 1500   | 0.0774        |
+| 1550   | 0.0714        |