scibert-finetuned-ner

siddharthtumre/scibert-finetuned-ner

scibert-finetuned-ner is a token classification model from siddharthtumre. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Aug 23, 2022
Updated: Aug 23, 2022
SHA: 3b0d7fde

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Datasets

jnlpba

Model card

From the Hugging Face model README

scibert-finetuned-ner

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the jnlpba dataset. It achieves the following results on the evaluation set:

Loss: 0.4717
Precision: 0.6737
Recall: 0.7757
F1: 0.7211
Accuracy: 0.9226

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1608	1.0	2319	0.2431	0.6641	0.7581	0.7080	0.9250
0.103	2.0	4638	0.2916	0.6739	0.7803	0.7232	0.9228
0.0659	3.0	6957	0.3662	0.6796	0.7624	0.7186	0.9233
0.0393	4.0	9276	0.4222	0.6737	0.7771	0.7217	0.9225
0.025	5.0	11595	0.4717	0.6737	0.7757	0.7211	0.9226

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
Created: Aug 23, 2022
Updated: Aug 23, 2022