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Brizape/
multiCorp_5e-05_LabelNorm_0404

Name: multiCorp_5e-05_LabelNorm_0404
Availability: InStock

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multiCorp_5e-05_LabelNorm_0404

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
0.2337	0.08	25	0.1020	0.0	0.0	0.0	0.9838
0.0855	0.15	50	0.1026	0.0	0.0	0.0	0.9838
0.0834	0.23	75	0.1037	0.0	0.0	0.0	0.9838
0.0868	0.31	100	0.0682	0.0	0.0	0.0	0.9838
0.0569	0.39	125	0.0630	0.0	0.0	0.0	0.9838
0.0612	0.46	150	0.0595	0.0	0.0	0.0	0.9838
0.0551	0.54	175	0.0507	0.3790	0.3046	0.3378	0.9841
0.0347	0.62	200	0.0504	0.5773	0.2403	0.3393	0.9859
0.0472	0.7	225	0.0474	0.5132	0.3795	0.4363	0.9862
0.0374	0.77	250	0.0444	0.5509	0.3039	0.3917	0.9857
0.0525	0.85	275	0.0383	0.6984	0.4281	0.5309	0.9882
0.0406	0.93	300	0.0389	0.6280	0.5105	0.5632	0.9885
0.0347	1.01	325	0.0404	0.5134	0.6003	0.5535	0.9873
0.0333	1.08	350	0.0415	0.6409	0.4289	0.5139	0.9880
0.0267	1.16	375	0.0377	0.6010	0.4543	0.5175	0.9885
0.0406	1.24	400	0.0397	0.6406	0.6310	0.6357	0.9889
0.0252	1.32	425	0.0364	0.5946	0.5599	0.5767	0.9882
0.0351	1.39	450	0.0343	0.6632	0.6130	0.6371	0.9895
0.0304	1.47	475	0.0378	0.6756	0.5846	0.6268	0.9896
0.0242	1.55	500	0.0342	0.7061	0.5988	0.6480	0.9904
0.0291	1.63	525	0.0327	0.5841	0.6497	0.6152	0.9894
0.0307	1.7	550	0.0333	0.5815	0.5823	0.5819	0.9890
0.0278	1.78	575	0.0316	0.6654	0.6579	0.6616	0.9904
0.0293	1.86	600	0.0335	0.7969	0.4933	0.6093	0.9898
0.0241	1.93	625	0.0322	0.6473	0.6991	0.6722	0.9901
0.0288	2.01	650	0.0300	0.7431	0.5846	0.6544	0.9906
0.0192	2.09	675	0.0329	0.6908	0.7006	0.6957	0.9910
0.0184	2.17	700	0.0326	0.6788	0.6407	0.6592	0.9897
0.0171	2.24	725	0.0325	0.7131	0.6864	0.6995	0.9911
0.0161	2.32	750	0.0336	0.7138	0.6647	0.6884	0.9910
0.0218	2.4	775	0.0306	0.6892	0.6954	0.6923	0.9904
0.0209	2.48	800	0.0310	0.6947	0.7305	0.7121	0.9911