bioclinicalbert-base-medqa-usmle-nocontext

GBaker/bioclinicalbert-base-medqa-usmle-nocontext

bioclinicalbert-base-medqa-usmle-nocontext is a multiple choice model from GBaker. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. 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: multiple choice
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Feb 19, 2023
Updated: Feb 20, 2023
SHA: 457f87d3

Model card

From the Hugging Face model README

bioclinicalbert-base-medqa-usmle-nocontext

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: 1.4564
Accuracy: 0.3009

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.98	39	1.3836	0.2757
No log	1.98	78	1.3801	0.2828
No log	2.98	117	1.3816	0.3024
No log	3.98	156	1.4107	0.3111
No log	4.98	195	1.4412	0.3032
No log	5.98	234	1.4564	0.3009

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: multiple choice
Library: transformers
Type: bert
License: mit
Created: Feb 19, 2023
Updated: Feb 20, 2023