| # Speech Classification | |
| This directory contains example scripts to train speech classification and voice activity detection models. | |
| # Model execution overview | |
| The training scripts in this directory execute in the following order. When preparing your own training-from-scratch / fine-tuning scripts, please follow this order for correct training/inference. | |
| ```mermaid | |
| graph TD | |
| A[Hydra Overrides + Yaml Config] --> B{Config} | |
| B --> |Init| C[Trainer] | |
| C --> D[ExpManager] | |
| B --> D[ExpManager] | |
| C --> E[Model] | |
| B --> |Init| E[Model] | |
| E --> |Constructor| F(Change Labels) | |
| F --> G(Setup Train + Validation + Test Data loaders) | |
| G --> H(Setup Optimization) | |
| H --> I[Maybe init from pretrained] | |
| I --> J["trainer.fit(model)"] | |
| ``` | |
| During restoration of the model, you may pass the Trainer to the restore_from / from_pretrained call, or set it after the model has been initialized by using `model.set_trainer(Trainer)`. |