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README.md

@@ -4,59 +4,34 @@ tags:
 - knowledge-distillation
 - pytorch
 - transformers
-- student-model
 base_model: unknown
 ---
 
-# Distilled Student Model
+# fokan/train-modle2
 
-This is a student model created through knowledge distillation.
+This model was created using knowledge distillation from the following teacher model(s):
 
-## 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
 
-- **Strategy**: weighted
+- **Teacher Models**: 
+- **Distillation Strategy**: weighted
 - **Training Steps**: 5000
 - **Learning Rate**: 0.001
 
 ## Usage
 
 ```python
-from transformers import AutoModel, AutoConfig
-
-# 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
+from transformers import AutoModel, AutoTokenizer
 
-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
+model = AutoModel.from_pretrained("fokan/train-modle2")
+tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
 ```
 
-## Files
+## Created with
 
-- `pytorch_model.safetensors`: Model weights
-- `config.json`: Model configuration
-- `model.py`: Custom model architecture
-- `training_history.json`: Complete training history
-- `README.md`: This file
+This model was created using the Multi-Modal Knowledge Distillation platform.