Keyword Spotter Model for Crop Pest and Disease Monitoring from Community Radio Data
Table 2: Keyword Classification Prediction Results
['Model', 'Accuracy', 'Average Precision', 'Average Recall', 'F1 Score']
As a baseline experiment we trained a baseline 5-layer densely connected network and our 1d convolutional model. We trained the model with early stopping at no improvement in validation loss for 10 epochs, model stopped at 30 epochs. We trained our model on a total of 18426 samples and validated it on 4607 and tested on 5759 samples. This model was trained on a K80 GPU on Google Colab. The evolution of loss and accuracy are shown in Figure 1.