distillbert-clinical-ner

ribhu/distillbert-clinical-ner

distillbert-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 apache-2.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Oct 30, 2024
Updated: Oct 30, 2024
SHA: 65460a2f

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Base models

Model card

From the Hugging Face model README

distillbert-clinical-ner

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4598

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	144	0.2837
No log	2.0	288	0.3082
No log	3.0	432	0.3243
0.1109	4.0	576	0.3519
0.1109	5.0	720	0.3840
0.1109	6.0	864	0.4083
0.045	7.0	1008	0.4329
0.045	8.0	1152	0.4411
0.045	9.0	1296	0.4589
0.045	10.0	1440	0.4598

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 30, 2024
Updated: Oct 30, 2024