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bert-base-uncased-emotion-onnx
Cohee/bert-base-uncased-emotion-onnx
bert-base-uncased-emotion-onnx is a text classification model from Cohee. 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.
nateraw/bert-base-uncased-emotion converted to ONNX and quantized using optimum.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 20, 2023
- Updated
- Oct 20, 2023
- SHA
- 14a930f0
Try a prompt
Datasets
Model card
From the Hugging Face model README
nateraw/bert-base-uncased-emotion converted to ONNX and quantized using optimum.
bert-base-uncased-emotion
Model description
bert-base-uncased finetuned on the emotion dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 2 GPUs, 4 epochs.
For more details, please see, the emotion dataset on nlp viewer.
Limitations and bias
- Not the best model, but it works in a pinch I guess...
- Code not available as I just hacked this together.
- Follow me on github to get notified when code is made available.
Training data
Data came from HuggingFace's datasets package. The data can be viewed on nlp viewer.
Training procedure
...
Eval results
val_acc - 0.931 (useless, as this should be precision/recall/f1)
The score was calculated using PyTorch Lightning metrics.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Oct 20, 2023
- Updated
- Oct 20, 2023