Update README.md

README.md

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 license: apache-2.0
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-Model Details
-Model name: TM-1B
-Model version: 1.0
-Developed by: [Development Team or Organization Name]
-Model type: [e.g., Machine Translation, Text Classification, etc.]
-Model framework: [e.g., TensorFlow, PyTorch, etc.]
-Training data: [Description of the dataset(s) used for training]
-Validation data: [Description of the dataset(s) used for validation]
-Intended Use
-Primary intended users: [Who should be using this model - e.g., data scientists, developers]
-Out-of-scope use cases: [List any use cases that are not recommended]
-Model Performance
-Metrics: [Description of the metrics used to evaluate model performance]
-Evaluation results: [Summary of the model's performance based on the chosen metrics]
-Ethical Considerations
-Bias detection: [Any steps taken to address potential bias in the training data]
-Fairness assessment: [Description of fairness assessment methods and results if applicable]
-Caveats and Recommendations
-Known limitations: [List known limitations of the model]
-Best practices: [Suggestions on best practices for implementation of the model]
-Change Log
-[Date]: Model version 1.0 released.
-Contact Information
-Maintainer(s): [Contact details for the person or team responsible for maintaining the model]
-Issues: [Information on where to report issues or bugs]
-License
-Model license: [Details of the model's usage license, if applicable]
+
+## Model Details
+- **Model name:** TM-1B
+- **Model version:** 1.0
+- **Developed by:** [Development Team or Organization Name]
+- **Model type:** [e.g., Machine Translation, Text Classification, etc.]
+- **Model framework:** [e.g., TensorFlow, PyTorch, etc.]
+- **Training data:** [Description of the dataset(s) used for training]
+- **Validation data:** [Description of the dataset(s) used for validation]
+
+## Intended Use
+- **Primary intended users:** [Who should be using this model - e.g., data scientists, developers]
+- **Out-of-scope use cases:** [List any use cases that are not recommended]
+
+## Model Performance
+- **Metrics:** [Description of the metrics used to evaluate model performance]
+- **Evaluation results:** [Summary of the model's performance based on the chosen metrics]
+
+## Ethical Considerations
+- **Bias detection:** [Any steps taken to address potential bias in the training data]
+- **Fairness assessment:** [Description of fairness assessment methods and results if applicable]
+
+## Caveats and Recommendations
+- **Known limitations:** [List known limitations of the model]
+- **Best practices:** [Suggestions on best practices for implementation of the model]
+
+## Change Log
+- **[Date]:** Model version 1.0 released.
+
+## Contact Information
+- **Maintainer(s):** [Contact details for the person or team responsible for maintaining the model]
+- **Issues:** [Information on where to report issues or bugs]
+
+## License
+- **Model license:** [Details of the model's usage license, if applicable]