Objective: - Reduce model size Steps: 1. Train a disterbert model on the optimized hyperparameters. Use this as a baseline model. 2. Apply purning (likely hyperparameter optimization for only the purning-related hyperparameters.) 3. Apply post-training quantization (likely hyperparameter optimization for only the quantization-related hyperparameters.) 4. Fine tune with hyperparameter optimization
Objective:
Steps: