python app for training spaCy models
Option 1: No installation required.
Download and unpack(extract) NGym.7z
Launch ng.exe
Option 2: Download NGym folder with python files. Run ng.pyw (You will need pyqt5, spaCy and matpotlib to be installed on your PC). In this mode you can use spacy.prefer_gpu() option.
- Create an output directory where the trained model will be saved.
- Select a training data file. Training data should be in spaCy data format. You can use TagEditor to create your training data. See axample of training data in file train_data.txt. Make sure your training data is utf-8 encoded.
- Select a model to train (it can be any spaCy model compatible with spaCy 2.2+) or create a blank model. Labels in the training data should match labels in the original model otherwise start from blank model.
- Check on Parameter averaging so the model to be saved with parameter averaging after training is done.
- Press Start. You can disrupt training process at any time by clicking stop or stop and save.
