You can deploy this model and start earning money today!

Brizape/
multiCorp_cut_5e-05_250

Name: multiCorp_cut_5e-05_250
Availability: InStock

Views

No views yet

multiCorp_cut_5e-05_250

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:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2942	0.66	50	0.0969	0.4120	0.1031	0.1649	0.9742
0.0781	1.32	100	0.0720	0.4497	0.2933	0.3551	0.9779
0.0673	1.97	150	0.0632	0.5067	0.4227	0.4609	0.9794
0.046	2.63	200	0.0617	0.5822	0.4780	0.5250	0.9814
0.0426	3.29	250	0.0607	0.6815	0.5033	0.5790	0.9833
0.0365	3.95	300	0.0596	0.6222	0.5558	0.5871	0.9823
0.026	4.61	350	0.0632	0.6341	0.6026	0.6180	0.9829
0.0224	5.26	400	0.0700	0.6951	0.5576	0.6188	0.9838
0.0197	5.92	450	0.0621	0.6834	0.5989	0.6384	0.9840
0.0147	6.58	500	0.0676	0.7181	0.6064	0.6575	0.9845
0.0119	7.24	550	0.0689	0.6965	0.6560	0.6757	0.9846
0.0106	7.89	600	0.0722	0.7331	0.6101	0.6660	0.9851