varad-more/spacy-ner-annotation-training

Train Spacy ner with custom dataset

spacy-ner-annotator

Installation

pip3 install spacy

Steps for usage

1. Open index.html file and open data on it.
2. Post annotations download the data and convert to spacy format using convert_spacy_train_data.py
3. Split data into train and test if you wish and add it to train.py
4. finally run the train.py after setting the hyper-parameters. Iterations are losses are logged in output_log.txt. And precision, recall and f1 scores are logged in train_output.txt and test_output.txt
5. Check progress by running losses_plotter.py.
6. If you wish to train over a model download the model and add its name in train.py

Details & Credits

Visit this url:

https://manivannanmurugavel.github.io/annotating-tool/spacy-ner-annotator/