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alexd063/
bio-clinicalbert-finetuned-medmentions-v1

Name: bio-clinicalbert-finetuned-medmentions-v1
Availability: InStock

generated_from_trainer

emilyalsentzer/Bio_ClinicalBERT

finetune

mit

endpoints_compatible

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bio-clinicalbert-finetuned-medmentions-v1

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the Ben10x/MedMentions-MTI881-NER dataset. It achieves the following results on the evaluation set:

Loss: 2.6961
Precision: 0.599
Recall: 0.714
F1: 0.652
Accuracy: 0.877

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 6e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
2.0211	1.0	1463	1.2990	0.181	0.441	0.256	0.609
1.0855	2.0	2926	1.0143	0.23	0.519	0.318	0.656
0.7216	3.0	4389	1.0351	0.256	0.537	0.346	0.668
0.4696	4.0	5852	0.9641	0.292	0.601	0.393	0.698
0.3200	5.0	7315	1.0366	0.342	0.639	0.445	0.746
0.2432	6.0	8778	1.1099	0.356	0.678	0.467	0.76
0.1669	7.0	10241	1.2021	0.379	0.681	0.487	0.774
0.1375	8.0	11704	1.3615	0.422	0.69	0.524	0.804
0.1036	9.0	13167	1.4416	0.439	0.686	0.535	0.812
0.0831	10.0	14630	1.5576	0.451	0.706	0.55	0.82
0.0604	11.0	16093	1.7574	0.492	0.718	0.584	0.842
0.0438	12.0	17556	1.7740	0.504	0.712	0.59	0.845
0.0334	13.0	19019	1.9544	0.521	0.713	0.602	0.851
0.0252	14.0	20482	2.1627	0.541	0.719	0.617	0.859
0.0214	15.0	21945	2.2473	0.56	0.72	0.63	0.866
0.0160	16.0	23408	2.3725	0.569	0.716	0.634	0.869
0.0137	17.0	24871	2.4949	0.587	0.711	0.643	0.873
0.0118	18.0	26334	2.5750	0.594	0.709	0.646	0.875
0.0109	19.0	27797	2.5828	0.596	0.712	0.649	0.876
0.0099	20.0	29260	2.5898	0.595	0.711	0.648	0.876

Framework versions

Transformers 5.8.1
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

alexd063/bio-clinicalbert-finetuned-medmentions-v1

bio-clinicalbert-finetuned-medmentions-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

alexd063/
bio-clinicalbert-finetuned-medmentions-v1