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datquocnguyen avatar datquocnguyen commented on July 30, 2024

The current uploaded code automatically evaluates the performance on the dev set, after each training epoch, without saving the learned parameters.

To save the model parameters:

  • First, you add the following two code lines before code line 79:

    with open("PATH-TO-VOCAB-FILE", 'w') as paramsfp:
        pickle.dump((words, nertags, rels, w2i, c2i, options), paramsfp)

    Then you uncomment the code line 112 to save learned parameters:

    parser.Save("PATH-TO-LEARNED-MODEL-FILE")

  • Then for loading a trained model, you can use:

    words, nertags, rels, w2i, c2i, options = pickle.load("PATH-TO-VOCAB-FILE")
    trained_model = learner.jNeRE(words, nertags, rels, w2i, c2i, options)
    trained_model.Load("PATH-TO-LEARNED-MODEL-FILE")
    predTest, relsTest = trained_model.Predict(test_data)

from jointre.

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