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:
- Downloads last month
- 3,291
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.