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nickmuchi/
sec-bert-finetuned-finance-classification

Name: sec-bert-finetuned-finance-classification
Availability: InStock

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sec-bert-finetuned-finance-classification

This model is a fine-tuned version of nlpaueb/sec-bert-base on the sentence_50Agree financial-phrasebank + Kaggle Dataset, a dataset consisting of 4840 Financial News categorised by sentiment (negative, neutral, positive). The Kaggle dataset includes Covid-19 sentiment data and can be found here: sentiment-classification-selflabel-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	F1	Precision	Recall
0.6005	0.99	71	0.3702	0.8478	0.8465	0.8491	0.8478
0.3226	1.97	142	0.3172	0.8834	0.8822	0.8861	0.8834
0.2299	2.96	213	0.3313	0.8814	0.8805	0.8821	0.8814
0.1277	3.94	284	0.3925	0.8775	0.8771	0.8770	0.8775
0.0764	4.93	355	0.4517	0.8715	0.8704	0.8717	0.8715
0.0533	5.92	426	0.4851	0.8735	0.8728	0.8731	0.8735
0.0363	6.9	497	0.5107	0.8755	0.8743	0.8757	0.8755
0.0248	7.89	568	0.5277	0.8755	0.8744	0.8754	0.8755