You can deploy this model and start earning money today!

Brizape/
tmvar_2e-05_0404_ES6_strict_tok1

Name: tmvar_2e-05_0404_ES6_strict_tok1
Availability: InStock

Views

No views yet

tmvar_2e-05_0404_ES6_strict_tok1

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
0.7315	0.49	25	0.2102	0.0	0.0	0.0	0.9555
0.1371	0.98	50	0.1021	0.0	0.0	0.0	0.9698
0.0836	1.47	75	0.0960	0.0	0.0	0.0	0.9725
0.0666	1.96	100	0.0526	0.0	0.0	0.0	0.9804
0.0391	2.45	125	0.0521	0.7294	0.3147	0.4397	0.9843
0.0252	2.94	150	0.0382	0.8630	0.6396	0.7347	0.9899
0.016	3.43	175	0.0452	0.6496	0.7716	0.7053	0.9872
0.0145	3.92	200	0.0272	0.8730	0.8376	0.8549	0.9923
0.0082	4.41	225	0.0301	0.8804	0.8223	0.8504	0.9920
0.0058	4.9	250	0.0330	0.8213	0.8629	0.8416	0.9916