Please provide crnn training example

[Vital95]

Hi Keunwoo!
Thank you for this repo!
But can you please provide a code chunks for model training?
Number of epochs, batch size and number of samples, etc...
I would like to train my own model with this dataset:
https://github.com/mdeff/fma

For now I have created a custom generator but maybe you can point out few hints.
Thank you.

def MelGenerator(features, labels, batch_size):
 # Create empty arrays to contain batch of features and labels#
    batch_features = np.zeros((batch_size, 96, 1366, 1))
    batch_labels = np.zeros((batch_size,1))
    while True:
        for i in range(batch_size):
        # choose random index in features
            index = randint(0, np.size(batch_features,0))
            batch_features[i] = features[index]
            batch_labels[i] = labels[index]
        yield batch_features, batch_labels

[keunwoochoi]

Hi, training part would more depend on the dataset, or rather be general regardless of the task. I don't think there' a particular problem in your generator. Batch size was approx 16-32. Other details are in my paper which is linked in the README. FMA is good and large enough, I think you'd get some nice results with it.

[Vital95]

ok, thank you for information!