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bert-base-go-emotion
bhadresh-savani/bert-base-go-emotion
bert-base-go-emotion is a text classification model from bhadresh-savani. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 29, 2021
- SHA
- 6ecebb28
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Datasets
Model card
From the Hugging Face model README
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:
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Nov 29, 2021