test-finetuned-ner

HYM/test-finetuned-ner

test-finetuned-ner is a token classification model from HYM. 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-sa-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-sa-4.0
Model type: bert
Access: Public
Created: Aug 18, 2022
Updated: Aug 18, 2022
SHA: b0df7e30

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Model card

From the Hugging Face model README

test-finetuned-ner

This model is a fine-tuned version of hfl/chinese-pert-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1687
Precision: 0.7449
Recall: 0.7717
F1: 0.7581
Accuracy: 0.9546

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: 3
eval_batch_size: 3
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
0.1234	1.0	9387	0.1513	0.6954	0.7365	0.7153	0.9505
0.0841	2.0	18774	0.1462	0.7248	0.7630	0.7434	0.9533
0.0542	3.0	28161	0.1687	0.7449	0.7717	0.7581	0.9546

Framework versions

Transformers 4.13.0
Pytorch 1.8.0+cu111
Datasets 2.4.0
Tokenizers 0.10.3

Task: Token Classification
Library: transformers
Type: bert
License: cc-by-nc-sa-4.0
Created: Aug 18, 2022
Updated: Aug 18, 2022