Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy	Adr Precision	Adr Recall	Adr F1	Disease Precision	Disease Recall	Disease F1	Drug Precision	Drug Recall	Drug F1	Finding Precision	Finding Recall	Finding F1	Symptom Precision	Symptom Recall	Symptom F1	B-adr Precision	B-adr Recall	B-adr F1	B-disease Precision	B-disease Recall	B-disease F1	B-drug Precision	B-drug Recall	B-drug F1	B-finding Precision	B-finding Recall	B-finding F1	B-symptom Precision	B-symptom Recall	B-symptom F1	I-adr Precision	I-adr Recall	I-adr F1	I-disease Precision	I-disease Recall	I-disease F1	I-drug Precision	I-drug Recall	I-drug F1	I-finding Precision	I-finding Recall	I-finding F1	Macro Avg F1	Weighted Avg F1
No log	1.0	127	0.2653	0.5472	0.6201	0.5814	0.9128	0.4942	0.6376	0.5568	0.0	0.0	0.0	0.7952	0.8186	0.8068	0.0	0.0	0.0	0.0	0.0	0.0	0.7530	0.7731	0.7629	0.0	0.0	0.0	0.9179	0.8818	0.8995	0.0	0.0	0.0	0.0	0.0	0.0	0.4915	0.6325	0.5532	0.1429	0.0345	0.0556	0.855	0.8382	0.8465	0.3333	0.0370	0.0667	0.3184	0.6587
No log	2.0	254	0.2307	0.5896	0.6632	0.6242	0.9254	0.5546	0.6722	0.6077	0.2222	0.1875	0.2034	0.8093	0.8529	0.8305	0.2083	0.1724	0.1887	0.0	0.0	0.0	0.7663	0.8263	0.7952	1.0	0.1562	0.2703	0.9366	0.9458	0.9412	0.625	0.3448	0.4444	0.0	0.0	0.0	0.5649	0.6600	0.6088	0.2963	0.2759	0.2857	0.8495	0.8578	0.8537	0.3846	0.1852	0.25	0.4449	0.7127
No log	3.0	381	0.2301	0.5948	0.6779	0.6336	0.9265	0.5579	0.6812	0.6134	0.2273	0.1562	0.1852	0.8136	0.8775	0.8443	0.2667	0.2759	0.2712	0.5	0.0435	0.08	0.7749	0.8513	0.8113	1.0	0.1562	0.2703	0.9327	0.9557	0.9440	0.5909	0.4483	0.5098	0.5	0.0435	0.08	0.5725	0.6782	0.6209	0.4091	0.3103	0.3529	0.8458	0.8873	0.8660	0.3529	0.2222	0.2727	0.4728	0.7278

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

mireiaplalis/bert-finetuned-ner

bert-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mireiaplalis/
bert-finetuned-ner