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Brizape/
tmvar

Name: tmvar
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tmvar

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
0.6322	1.47	25	0.1254	0.0	0.0	0.0	0.9786
0.083	2.94	50	0.0469	0.4729	0.5189	0.4948	0.9853
0.0408	4.41	75	0.0303	0.5409	0.6432	0.5877	0.9928
0.0277	5.88	100	0.0216	0.5890	0.6973	0.6386	0.9946
0.0128	7.35	125	0.0188	0.7427	0.8270	0.7826	0.9957
0.0087	8.82	150	0.0215	0.7051	0.8270	0.7612	0.9945
0.0058	10.29	175	0.0160	0.7744	0.8162	0.7947	0.9962
0.0044	11.76	200	0.0176	0.8010	0.8486	0.8241	0.9963
0.003	13.24	225	0.0175	0.7822	0.8541	0.8165	0.9966
0.0026	14.71	250	0.0182	0.7794	0.8595	0.8175	0.9964
0.0023	16.18	275	0.0179	0.7921	0.8649	0.8269	0.9968
0.002	17.65	300	0.0183	0.7745	0.8541	0.8123	0.9963
0.0019	19.12	325	0.0182	0.7756	0.8595	0.8154	0.9964
0.0019	20.59	350	0.0183	0.7718	0.8595	0.8133	0.9963