ADE-Bio_ClinicalBERT-NER – AI Model by commanderstrife | AlphaNeural AI

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commanderstrife/
ADE-Bio_ClinicalBERT-NER

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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ADE-Bio_ClinicalBERT-NER

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1926
Precision: 0.7830
Recall: 0.8811
F1: 0.8291
Accuracy: 0.9437

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2389	1.0	201	0.2100	0.7155	0.8292	0.7681	0.9263
0.0648	2.0	402	0.1849	0.7716	0.8711	0.8183	0.9392
0.2825	3.0	603	0.1856	0.7834	0.8788	0.8284	0.9422
0.199	4.0	804	0.1875	0.7796	0.8781	0.8259	0.9430
0.0404	5.0	1005	0.1926	0.7830	0.8811	0.8291	0.9437

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1