Update README.md

README.md

@@ -9,16 +9,16 @@ pipeline_tag: text-generation
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 # Model Card: Neural-phi2
 
-![Poster Image](path/to/poster.png)
+![Poster Image](poster.png)
 
 ## Model Details
 
 - **Model Name**: Neural-phi2
 - **Model Type**: Large Language Model (LLM)
 - **Model Architecture**: A finetuned version of the Phi2 model from Microsoft, utilizing Direct Preference Optimization (DPO) on the `distilabel-intel-orca-dpo-pairs` dataset.
-- **Model Size**: Approximately 7B parameters
+- **Model Size**: Approximately 2B parameters
 - **Training Data**: The model was finetuned on the `distilabel-intel-orca-dpo-pairs` dataset, which consists of chat-like prompts and responses.
-- **Training Procedure**: The Phi2 model was finetuned using the DPO technique as described in the Jupyter notebook. The training process involved:
+- **Training Procedure**: The Phi2 model was finetuned using the DPO technique. The training process involved:
   - Loading and formatting the `distilabel-intel-orca-dpo-pairs` dataset
   - Defining the training configuration, including batch size, learning rate, and number of epochs
   - Initializing the DPO Trainer and training the model