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bert-veg
JonnyTaylor/bert-veg
bert-veg is a text classification model from JonnyTaylor. Use it when you need a label for a piece of text. It is set up for transformers.
This model was trained from bert-base-uncased on a custom dataset of labelled answers to the question "Are you vegetarian or vegan?" The 4 valid answers are "vegetarain", "vegan", "false", and "unknown".
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 9, 2024
- Updated
- Feb 9, 2024
- SHA
- edc3f34e
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Model card
From the Hugging Face model README
bert-veg
This model was trained from bert-base-uncased on a custom dataset of labelled answers to the question "Are you vegetarian or vegan?" The 4 valid answers are "vegetarain", "vegan", "false", and "unknown".
It achieves the following results on the evaluation set: ~99% accuracy after 5 epochs.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: Adam
- training_precision: float32
Training results
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 9, 2024
- Updated
- Feb 9, 2024