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:
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