metadata
language:
- en
thumbnail: >-
https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
tags:
- text-classification
- go-emotion
- pytorch
license: apache-2.0
datasets:
- go_emotions
metrics:
- Accuracy
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