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Dinithi/
CancerTextV2

Name: CancerTextV2
Rating: 2.5 (12 reviews)

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CancerTextV2

This model is a fine-tuned version of bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12 on an unknown 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
0.4717	1.0	600	0.3318	0.8617	0.8562	0.8704	0.8633
0.3248	2.0	1200	0.3144	0.8658	0.8821	0.8455	0.8634
0.2653	3.0	1800	0.3519	0.8625	0.8507	0.8804	0.8653
0.2164	4.0	2400	0.4090	0.8658	0.9002	0.8239	0.8604
0.1884	5.0	3000	0.4413	0.8667	0.8850	0.8439	0.8639
0.1582	6.0	3600	0.4415	0.865	0.8971	0.8256	0.8599
0.1377	7.0	4200	0.5165	0.8708	0.8694	0.8738	0.8716
0.1192	8.0	4800	0.5699	0.8675	0.8826	0.8488	0.8654
0.1081	9.0	5400	0.5837	0.8692	0.8666	0.8738	0.8701
0.1018	10.0	6000	0.5913	0.8692	0.8666	0.8738	0.8701