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Zamoranesis/
mental_bert_classifier

Name: mental_bert_classifier
Availability: InStock

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mental_bert_classifier

This model is a fine-tuned version of Zamoranesis/mental_bert on hackathon-somos-nlp-2023/DiagTrast. 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	F1 Class 0	F1 Class 1	F1 Class 2	F1 Class 3	F1 Class 4	F1
0.7979	6.25	100	0.3557	0.8421	0.9512	0.8214	0.8889	0.9091	0.8825
0.2559	12.5	200	0.2823	0.9333	0.9412	0.8364	0.8602	0.9362	0.9015
0.1963	18.75	300	0.2610	0.9180	0.9756	0.7778	0.8352	0.9231	0.8859
0.1717	25.0	400	0.2534	0.9180	0.9630	0.8	0.8261	0.9412	0.8897
0.1511	31.25	500	0.2476	0.8667	0.9512	0.8148	0.8298	0.96	0.8845
0.1501	37.5	600	0.2513	0.9	0.9630	0.8	0.8261	0.9231	0.8824
0.1427	43.75	700	0.2581	0.9180	0.9756	0.8475	0.8810	0.8889	0.9022
0.1457	50.0	800	0.2428	0.8852	0.9512	0.8	0.8261	0.92	0.8765
0.1311	56.25	900	0.2462	0.9	0.9512	0.8	0.8352	0.9231	0.8819
0.1346	62.5	1000	0.2426	0.8852	0.9512	0.8421	0.8539	0.9412	0.8947