bert-finetuned-ner_swedish_test

Nonzerophilip/bert-finetuned-ner_swedish_test

bert-finetuned-ner_swedish_test is a token classification model from Nonzerophilip. 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: Jun 17, 2022
Updated: Jun 17, 2022
SHA: f44ec223

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Model card

From the Hugging Face model README

bert-finetuned-ner_swedish_test

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

Loss: 0.0916
Precision: 0.6835
Recall: 0.6391
F1: 0.6606
Accuracy: 0.9788

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	128	0.0980	0.6121	0.5976	0.6048	0.9749
No log	2.0	256	0.0914	0.7255	0.6568	0.6894	0.9779
No log	3.0	384	0.0916	0.6835	0.6391	0.6606	0.9788

Framework versions

Transformers 4.19.3
Pytorch 1.7.1
Datasets 2.2.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
Created: Jun 17, 2022
Updated: Jun 17, 2022