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Brizape/
SETH_5e-05_0404_ES6_strict

Name: SETH_5e-05_0404_ES6_strict
Availability: InStock

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SETH_5e-05_0404_ES6_strict

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext 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	Precision	Recall	F1	Accuracy
0.3171	0.96	25	0.0921	0.6399	0.7676	0.6980	0.9759
0.0656	1.92	50	0.0588	0.7528	0.8227	0.7862	0.9796
0.04	2.88	75	0.0456	0.7641	0.8640	0.8110	0.9837
0.031	3.85	100	0.0481	0.7647	0.8726	0.8151	0.9840
0.0241	4.81	125	0.0443	0.7915	0.8623	0.8254	0.9857
0.0162	5.77	150	0.0469	0.8443	0.8399	0.8421	0.9868
0.0132	6.73	175	0.0487	0.8310	0.8296	0.8303	0.9865
0.013	7.69	200	0.0545	0.7692	0.8778	0.8199	0.9854
0.0091	8.65	225	0.0539	0.8093	0.8399	0.8243	0.9865
0.0071	9.62	250	0.0691	0.7820	0.8520	0.8155	0.9855
0.0049	10.58	275	0.0633	0.7953	0.8692	0.8306	0.9864