It's critical to stress that no one assessment measure can fully express the possibilities of a language model. A mix of subjective qualitative evaluations and objective quantitative measurements is essential to comprehend the model's performance and quality fully. Ongoing evaluation and incremental advancements based on user input are essential to develop the model further. Here are some essential evaluation methods:

1. Human Evaluation

2. Task-specific Evaluation

3. Diversity Assessment

4. Safety and Bias Evaluation

5. Adversarial Testing

6. Domain-specific Evaluation

7. Transfer Learning Evaluation

8. Comparison with Baselines

9. Usage and User Feedback

10. Quantitative Metrics