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twitter-emotion-deberta-v3-base
Emanuel/twitter-emotion-deberta-v3-base
twitter-emotion-deberta-v3-base is a text classification model from Emanuel. 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.
This model is a fine-tuned version of DeBERTa-v3. It achieves the following results on the evaluation set: - Loss: 0.1474 - Accuracy: 0.937
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- deberta-v2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 5, 2022
- SHA
- ae0d3f55
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Datasets
Model card
From the Hugging Face model README
twitter-emotion-deberta-v3-base
This model is a fine-tuned version of DeBERTa-v3. It achieves the following results on the evaluation set:
- Loss: 0.1474
- Accuracy: 0.937
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 80
- eval_batch_size: 80
- lr_scheduler_type: linear
- num_epochs: 6.0
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu113
- Datasets 1.15.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Dec 5, 2022