Add ONNX repo
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README.md
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- Loss: 0.1216
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- Accuracy: 0.9521
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## Model description
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This emotion classifier has been trained on 89_754 examples split into train, validation and test. Each label was perfectly balanced in each split.
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- Loss: 0.1216
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- Accuracy: 0.9521
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<b>ONNX version</b>: [distilbert-base-uncased-finetuned-emotion-balanced-onnx](https://huggingface.co/AdamCodd/distilbert-base-uncased-finetuned-emotion-balanced-onnx)
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## Model description
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This emotion classifier has been trained on 89_754 examples split into train, validation and test. Each label was perfectly balanced in each split.
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