clinical_bert_ft

ericntay/clinical_bert_ft

clinical_bert_ft is a token classification model from ericntay. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jul 11, 2022
Updated: Jul 11, 2022
SHA: c1f8110c

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Model card

From the Hugging Face model README

clinical_bert_ft

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2439
F1: 0.8252

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.5938	1.0	95	0.2480	0.7084
0.1567	2.0	190	0.2035	0.7855
0.083	3.0	285	0.2002	0.8026
0.0482	4.0	380	0.2046	0.8118
0.0269	5.0	475	0.2230	0.8143
0.0185	6.0	570	0.2178	0.8175
0.0123	7.0	665	0.2269	0.8253
0.0093	8.0	760	0.2421	0.8227
0.0072	9.0	855	0.2446	0.8267
0.006	10.0	950	0.2439	0.8252

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Jul 11, 2022
Updated: Jul 11, 2022