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Bert-Base-Uncased-Go-Emotion

Model description:

Training Parameters:

Num examples = 169208
Num Epochs = 3
Instantaneous batch size per device = 16
Total train batch size (w. parallel, distributed & accumulation) = 16
Gradient Accumulation steps = 1
Total optimization steps = 31728

TrainOutput:

'train_loss': 0.12085497042373672, 

Evalution Output:

 'eval_accuracy_thresh': 0.9614765048027039,
 'eval_loss': 0.1164659634232521

Colab Notebook:

Notebook

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