bert-finetuned-ner

Aadarsh/bert-finetuned-ner

bert-finetuned-ner is a token classification model from Aadarsh. 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: Oct 26, 2022
Updated: Oct 27, 2022
SHA: c80c9dbb

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Model card

From the Hugging Face model README

bert-finetuned-ner

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

Loss: 0.1429
Precision: 0.4954
Recall: 0.6136
F1: 0.5482
Accuracy: 0.9642

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	141	0.2894	0.4649	0.3258	0.3831	0.9219
No log	2.0	282	0.1767	0.4706	0.4545	0.4624	0.9487
No log	3.0	423	0.1429	0.4954	0.6136	0.5482	0.9642

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 26, 2022
Updated: Oct 27, 2022