bert-finetuned-ner-para

Aadarsh/bert-finetuned-ner-para

bert-finetuned-ner-para 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 28, 2022
Updated: Nov 2, 2022
SHA: 68205cb4

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Model card

From the Hugging Face model README

bert-finetuned-ner-para

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: 0.0818
Precision: 0.6445
Recall: 0.7434
F1: 0.6904
Accuracy: 0.9762

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	80	0.2387	0.4214	0.4053	0.4132	0.9387
No log	2.0	160	0.1301	0.6105	0.6163	0.6134	0.9650
No log	3.0	240	0.0952	0.6515	0.7218	0.6849	0.9741
No log	4.0	320	0.0818	0.6445	0.7434	0.6904	0.9762

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 28, 2022
Updated: Nov 2, 2022