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judithrosell/
MatSciBERT_BIOMAT_NER3

Name: MatSciBERT_BIOMAT_NER3
Availability: InStock

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MatSciBERT_BIOMAT_NER3

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
No log	1.0	422	0.2590	0.4873	0.6950	0.5729	0.9387
0.2326	2.0	844	0.2598	0.5160	0.7084	0.5971	0.9428
0.0654	3.0	1266	0.3152	0.5105	0.6936	0.5881	0.9430
0.0342	4.0	1688	0.3075	0.5214	0.7208	0.6051	0.9432
0.0208	5.0	2110	0.3623	0.5109	0.7370	0.6034	0.9421
0.0126	6.0	2532	0.3504	0.5167	0.7139	0.5995	0.9428
0.0126	7.0	2954	0.3708	0.5260	0.7453	0.6167	0.9445
0.0073	8.0	3376	0.3898	0.5175	0.7294	0.6054	0.9432
0.0058	9.0	3798	0.3917	0.5185	0.7391	0.6094	0.9432
0.0039	10.0	4220	0.3972	0.5228	0.7391	0.6124	0.9437