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jayanta/
bert-base-uncased-english-sentweet-sentiment

Name: bert-base-uncased-english-sentweet-sentiment
Availability: InStock

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bert-base-uncased-english-sentweet-sentiment

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	0.4525	0.8021	0.8198	0.8101	0.8014
No log	2.0	162	0.5388	0.7847	0.8076	0.7939	0.7835
No log	3.0	243	0.5883	0.7917	0.8233	0.8023	0.7897
No log	4.0	324	0.5507	0.7778	0.7917	0.7849	0.7773
No log	5.0	405	0.7801	0.7847	0.7922	0.7900	0.7846
No log	6.0	486	0.8588	0.7917	0.8060	0.7989	0.7912