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README.md

@@ -1,23 +1,16 @@
 ---
 license: apache-2.0
-base_model: microsoft/DialoGPT-medium
+base_model: qwen3-0.6B
 tags:
 - code-generation
 - svg
 - lora
 - fine-tuned
 - peft
-- graphics
-- art
 language:
 - en
 pipeline_tag: text-generation
-library_name: peft
-datasets:
-- custom-svg-dataset
-metrics:
-- bleu
-- rouge
+library_name: transformers
 model_type: lora
 inference: true
 widget:
@@ -27,19 +20,6 @@ widget:
   text: "Draw a blue rectangle with black border"
 - example_title: "Complex Shape"
   text: "Generate a star with 5 points in yellow"
-model-index:
-- name: svg-code-generator
-  results:
-  - task:
-      type: text-generation
-      name: SVG Code Generation
-    metrics:
-    - type: bleu
-      value: 0.85
-      name: BLEU Score
-    - type: rouge
-      value: 0.78
-      name: ROUGE Score
 ---
 
 # SVG Code Generator
@@ -49,12 +29,11 @@ This is a fine-tuned LoRA adapter for generating SVG code from natural language
 ## Model Details
 
 - **Model Name**: model_v10
-- **Base Model**: Fine-tuned language model
+- **Base Model**: qwen3-0.6B
 - **Training Method**: LoRA (Low-Rank Adaptation)
 - **Task**: Text-to-SVG code generation
 - **Model Type**: Causal Language Model with LoRA adapter
-- **Parameters**: ~7B (base) + LoRA parameters
-- **Training Framework**: PyTorch with PEFT
+- **Library**: Transformers
 
 ## Usage
 
@@ -62,41 +41,18 @@ Load the model using the transformers library and PEFT for LoRA adapters. Use na
 
 ## Training Data
 
-The model was trained on SVG code generation tasks with natural language descriptions covering:
-- Basic shapes (circles, rectangles, polygons)
-- Complex graphics and patterns
-- Color specifications and styling
-- Positioning and sizing instructions
+The model was trained on SVG code generation tasks with natural language descriptions.
 
 ## Intended Use
 
-This model is designed to generate SVG code from text descriptions for:
-- Educational purposes
-- Creative projects
-- Rapid prototyping of graphics
-- Learning SVG syntax
+This model is designed to generate SVG code from text descriptions for educational and creative purposes.
 
 ## Limitations
 
 - Generated SVG may require validation
 - Performance depends on prompt clarity
 - Limited to SVG syntax and features seen during training
-- May not handle very complex geometric calculations
 
 ## Model Performance
 
-The model has been fine-tuned specifically for SVG generation tasks and achieves:
-- BLEU Score: 0.85
-- ROUGE Score: 0.78
-- High accuracy on basic shapes and common patterns
-
-## Citation
-
-If you use this model, please cite:
-@misc{svg-code-generator,
-title={SVG Code Generator},
-author={Your Name},
-year={2025},
-publisher={HuggingFace},
-url={https://huggingface.co/your_username/svg-code-generator}
-}
+The model has been fine-tuned specifically for SVG generation tasks and should be used within this domain for best results.