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ajrayman/
Anger_binary

Name: Anger_binary
Rating: 2.5 (7 reviews)

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Anger_binary

This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Auc
No log	1.0	134	0.6285	0.6399	0.6458	0.6828	0.6638	0.6381
No log	2.0	268	0.6353	0.6586	0.6798	0.6505	0.6648	0.6589
No log	3.0	402	0.7098	0.6474	0.6685	0.6398	0.6538	0.6477