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README.md

@@ -4,34 +4,59 @@ tags:
 - knowledge-distillation
 - pytorch
 - transformers
-base_model: google/medsiglip-448
+- student-model
+base_model: unknown
 ---
 
-# fokan/train-modle2
+# Distilled Student Model
 
-This model was created using knowledge distillation from the following teacher model(s):
-- google/medsiglip-448
+This is a student model created through knowledge distillation.
+
+## Model Details
+
+- **Architecture**: StudentModel
+- **Hidden Size**: 1024
+- **Number of Layers**: 12
+- **Modalities**: ['text']
+- **Created**: 2025-08-26T13:45:10.851453
+
+## Teacher Models
 
-## Model Description
 
-A distilled model created using multi-modal knowledge distillation.
 
 ## Training Details
 
-- **Teacher Models**: google/medsiglip-448
-- **Distillation Strategy**: weighted
-- **Training Steps**: 2000
+- **Strategy**: weighted
+- **Training Steps**: 5000
 - **Learning Rate**: 0.001
 
 ## Usage
 
 ```python
-from transformers import AutoModel, AutoTokenizer
+from transformers import AutoModel, AutoConfig
 
-model = AutoModel.from_pretrained("fokan/train-modle2")
-tokenizer = AutoTokenizer.from_pretrained("google/medsiglip-448")
+# Load the model
+model = AutoModel.from_pretrained("path/to/model", trust_remote_code=True)
+config = AutoConfig.from_pretrained("path/to/model")
+
+# Use for inference or further training
+outputs = model(input_ids)
+```
+
+## Retraining
+
+This model can be used as a student model for incremental training:
+
+```python
+# Load as existing student for further distillation
+existing_student = "path/to/this/model"
+# Add new teachers and continue training
 ```
 
-## Created with
+## Files
 
-This model was created using the Multi-Modal Knowledge Distillation platform.
+- `pytorch_model.safetensors`: Model weights
+- `config.json`: Model configuration
+- `model.py`: Custom model architecture
+- `training_history.json`: Complete training history
+- `README.md`: This file