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@@ -57,8 +57,6 @@ It achieves the following results on the evaluation set:
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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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  - 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.