medlid-identify

onionLad/medlid-identify

medlid-identify is a token classification model from onionLad. 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: bert
Access: Public
Created: Aug 17, 2023
Updated: Aug 25, 2023
SHA: b674921d

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Model card

From the Hugging Face model README

medlid-identify

This model is a fine-tuned version of bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1708
Precision: 0.3912
Recall: 0.4603
F1: 0.4229
Accuracy: 0.9463

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: 81
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	381	0.1567	0.2689	0.3180	0.2914	0.9377
0.1618	2.0	762	0.1399	0.4016	0.3847	0.3930	0.9492
0.0978	3.0	1143	0.1505	0.3773	0.4239	0.3993	0.9468
0.0636	4.0	1524	0.1708	0.3912	0.4603	0.4229	0.9463

Framework versions

Transformers 4.30.2
Pytorch 1.11.0
Datasets 2.13.1
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Aug 17, 2023
Updated: Aug 25, 2023