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jayanta/
microsoft-resnet-50-english-sentweet-derogatory

Name: microsoft-resnet-50-english-sentweet-derogatory
Availability: InStock

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microsoft-resnet-50-english-sentweet-derogatory

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment 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
No log	1.0	81	1.4751	0.8021	0.8101	0.8105	0.8021
No log	2.0	162	1.2925	0.8021	0.8086	0.8098	0.8021
No log	3.0	243	1.4240	0.8090	0.8268	0.8212	0.8088
No log	4.0	324	1.3803	0.8125	0.8214	0.8214	0.8125
No log	5.0	405	1.3698	0.8090	0.8187	0.8183	0.8090
No log	6.0	486	1.3923	0.8229	0.8388	0.8345	0.8228