bert-finetuned-ner-clinical-trials-2

crisU8/bert-finetuned-ner-clinical-trials-2

bert-finetuned-ner-clinical-trials-2 is a token classification model from crisU8. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-4.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: cc-by-nc-4.0
Model type: roberta
Access: Public
Created: Jul 10, 2023
Updated: Jul 10, 2023
SHA: 905e799c

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Model card

From the Hugging Face model README

bert-finetuned-ner-clinical-trials-2

This model is a fine-tuned version of lcampillos/roberta-es-clinical-trials-ner on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3516
Precision: 0.7329
Recall: 0.7755
F1: 0.7536
Accuracy: 0.9141

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: 42
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
0.158	1.0	502	0.3028	0.7104	0.7700	0.7390	0.9144
0.1061	2.0	1004	0.3578	0.7020	0.7772	0.7377	0.9094
0.123	3.0	1506	0.3296	0.7237	0.7750	0.7485	0.9139
0.1007	4.0	2008	0.3516	0.7329	0.7755	0.7536	0.9141

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: roberta
License: cc-by-nc-4.0
Created: Jul 10, 2023
Updated: Jul 10, 2023