Bio_ClinicalBERT-SurgicalCardiothoracic

Gaborandi/Bio_ClinicalBERT-SurgicalCardiothoracic

Bio_ClinicalBERT-SurgicalCardiothoracic is a fill-mask model from Gaborandi. Use it when you need the model to fill a missing word. 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: Fill-Mask
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Nov 2, 2022
Updated: Nov 3, 2022
SHA: 598457b0

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Model card

From the Hugging Face model README

Bio_ClinicalBERT-SurgicalCardiothoracic

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: 0.8426

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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	13144	0.9092
No log	2.0	26288	0.8575
No log	3.0	39432	0.8417

Framework versions

Transformers 4.17.0
Pytorch 1.8.0
Datasets 2.2.2
Tokenizers 0.11.6

Task: Fill-Mask
Library: transformers
Type: bert
License: mit
Created: Nov 2, 2022
Updated: Nov 3, 2022