spellcorrector_1009_v1

Buseak/spellcorrector_1009_v1

spellcorrector_1009_v1 is a token classification model from Buseak. 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: canine
Access: Public
Created: Sep 10, 2023
Updated: Sep 10, 2023
SHA: 0e4b006c

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Model card

From the Hugging Face model README

spellcorrector_1009_v1

This model is a fine-tuned version of google/canine-s on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0188
Precision: 0.9947
Recall: 0.9968
F1: 0.9958
Accuracy: 0.9941

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2712	1.0	1951	0.2093	0.9634	0.9655	0.9645	0.9423
0.2165	2.0	3902	0.1618	0.9645	0.9671	0.9658	0.9541
0.1801	3.0	5853	0.1308	0.9667	0.9708	0.9687	0.9641
0.1473	4.0	7804	0.1003	0.9714	0.9734	0.9724	0.9713
0.1278	5.0	9755	0.0872	0.9761	0.9772	0.9766	0.9757
0.1058	6.0	11706	0.0774	0.9752	0.9825	0.9788	0.9779
0.0948	7.0	13657	0.0682	0.9815	0.9851	0.9833	0.9806
0.0865	8.0	15608	0.0609	0.9847	0.9899	0.9873	0.9825
0.0812	9.0	17559	0.0516	0.9842	0.9904	0.9873	0.9849
0.071	10.0	19510	0.0477	0.9873	0.9926	0.9899	0.9862
0.0658	11.0	21461	0.0404	0.9873	0.9920	0.9897	0.9880
0.0571	12.0	23412	0.0360	0.9899	0.9915	0.9907	0.9891
0.0512	13.0	25363	0.0316	0.9905	0.9936	0.9920	0.9904
0.0511	14.0	27314	0.0307	0.9884	0.9936	0.9910	0.9908
0.047	15.0	29265	0.0261	0.9921	0.9947	0.9934	0.9919
0.0413	16.0	31216	0.0239	0.9926	0.9958	0.9942	0.9925
0.0412	17.0	33167	0.0220	0.9947	0.9963	0.9955	0.9932
0.0371	18.0	35118	0.0206	0.9947	0.9963	0.9955	0.9936
0.0368	19.0	37069	0.0191	0.9947	0.9968	0.9958	0.9940
0.032	20.0	39020	0.0188	0.9947	0.9968	0.9958	0.9941

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: canine
License: apache-2.0
Created: Sep 10, 2023
Updated: Sep 10, 2023