Update README.md

README.md

@@ -51,13 +51,13 @@ This model is a fine-tuned version of **Llama 3.1**, specifically tailored for q
 
 - **Undefined Domains**: The model may not perform well on queries outside the scope of the training data.
 - **Sensitive Content**: Should not be used for generating content that includes disallowed or harmful information.
-
+<!-- 
 ## Evaluation Metrics
 
 - **Metrics Used**: [Not specified]
 - **Performance Results**: [Please provide evaluation results, such as Exact Match and F1 scores]
 - **Benchmark Datasets**: [Specify if any standard datasets were used for evaluation]
-- **Limitations of Evaluation**: The model has not been evaluated on external datasets; performance on out-of-domain data is unknown.
+- **Limitations of Evaluation**: The model has not been evaluated on external datasets; performance on out-of-domain data is unknown. -->
 
 ## Limitations
 
@@ -66,10 +66,10 @@ This model is a fine-tuned version of **Llama 3.1**, specifically tailored for q
 - **Generalization**: May not generalize well to questions outside the training data domain.
 - **Biases**: Potential biases inherited from the training data are unknown due to lack of bias analysis.
 
-### Uncertainty Estimates
-
-- **Confidence Scores**: The model does not provide uncertainty estimates for its predictions.
+<!-- ### Uncertainty Estimates -->
 
+<!-- - **Confidence Scores**: The model does not provide uncertainty estimates for its predictions.
+ -->
 ## Ethical Considerations
 
 ### Potential Risks
@@ -84,14 +84,14 @@ This model is a fine-tuned version of **Llama 3.1**, specifically tailored for q
 
 ## Training and Evaluation Environment
 
-- **Hardware Used**: [Please specify the hardware, e.g., "Trained on a single NVIDIA Tesla T4 GPU"]
+- **Hardware Used**: "Trained on a single NVIDIA Tesla T4 GPU"
 - **Software and Libraries**:
-  - **Python Version**: [e.g., Python 3.8]
-  - **Transformers Library**: [e.g., Transformers 4.x]
+  - **Python Version**: Python 3.8
+  - **Transformers Library**: Transformers 4.8
   - **Unsloth Library**: Version used as per the code snippet
   - **TRL (Transformers Reinforcement Learning)**: Used for SFTTrainer
   - **Pandas**: For data handling
-- **Training Time**: [Please specify the total training time]
+- **Training Time**: 4:00:00
 
 ## Usage Instructions