Bio_ClinicalBERT-finetuned-20pc

okho0653/Bio_ClinicalBERT-finetuned-20pc

Bio_ClinicalBERT-finetuned-20pc is a text classification model from okho0653. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Nov 6, 2022
Updated: Nov 6, 2022
SHA: 8b819aed

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Model card

From the Hugging Face model README

Bio_ClinicalBERT-finetuned-20pc

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: 1.3213
Accuracy: 0.8580
F1: 0.4390

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: 2e-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	Accuracy	F1
No log	1.0	41	1.0399	0.8642	0.45
No log	2.0	82	1.1412	0.8519	0.4
No log	3.0	123	1.2759	0.8642	0.45
No log	4.0	164	1.2953	0.8519	0.5385
No log	5.0	205	1.3213	0.8580	0.4390

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Nov 6, 2022
Updated: Nov 6, 2022