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@prakhar21
Created January 19, 2020 17:26
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Flair Sentence Embeddings and Training a Classifier
document_embeddings = DocumentRNNEmbeddings(word_embeddings, hidden_size=512, reproject_words=True, reproject_words_dimension=256, rnn_type='LSTM', rnn_layers=1, bidirectional=False)
classifier = TextClassifier(document_embeddings, label_dictionary=corpus.make_label_dictionary(), multi_label=False)
trainer = ModelTrainer(classifier, corpus)
trainer.train('./model', max_epochs=20, patience=5, mini_batch_size=32, learning_rate=0.1)
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