medbert-clinical-ner

ribhu/medbert-clinical-ner

medbert-clinical-ner is a token classification model from ribhu. 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: Oct 30, 2024
Updated: Oct 30, 2024
SHA: ebd5f9c8

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Base models

Charangan/MedBERT

Model card

From the Hugging Face model README

medbert-clinical-ner

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

Loss: 0.3264

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.15
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	36	0.2732
No log	2.0	72	0.2875
No log	3.0	108	0.3106
No log	4.0	144	0.3228
No log	5.0	180	0.3264

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Oct 30, 2024
Updated: Oct 30, 2024