spellcorrector_20_02_050_qwerty_v13

Buseak/spellcorrector_20_02_050_qwerty_v13

spellcorrector_20_02_050_qwerty_v13 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: Feb 25, 2024
Updated: Feb 25, 2024
SHA: c733b4cc

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Base models

Buseak/spellcorrector_20_02_050_qwerty_v11

Model card

From the Hugging Face model README

spellcorrector_20_02_050_qwerty_v13

This model is a fine-tuned version of Buseak/spellcorrector_20_02_050_qwerty_v11 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Precision: 1.0
Recall: 0.9995
F1: 0.9997
Accuracy: 1.0000

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0398	1.0	967	0.0161	0.9941	0.9898	0.9919	0.9953
0.0227	2.0	1934	0.0103	0.9952	0.9919	0.9935	0.9970
0.017	3.0	2901	0.0072	0.9936	0.9957	0.9946	0.9978
0.0126	4.0	3868	0.0048	0.9978	0.9946	0.9962	0.9986
0.0104	5.0	4835	0.0034	0.9989	0.9973	0.9981	0.9990
0.0082	6.0	5802	0.0022	0.9989	0.9979	0.9984	0.9993
0.0064	7.0	6769	0.0015	0.9989	0.9973	0.9981	0.9996
0.0055	8.0	7736	0.0013	0.9995	0.9989	0.9992	0.9996
0.0042	9.0	8703	0.0007	0.9989	0.9979	0.9984	0.9998
0.0035	10.0	9670	0.0004	0.9995	0.9989	0.9992	0.9999
0.0032	11.0	10637	0.0003	0.9995	0.9989	0.9992	0.9999
0.0025	12.0	11604	0.0002	0.9995	0.9989	0.9992	1.0000
0.0022	13.0	12571	0.0002	0.9995	0.9989	0.9992	1.0000
0.002	14.0	13538	0.0001	1.0	0.9989	0.9995	1.0000
0.0015	15.0	14505	0.0001	0.9995	1.0	0.9997	1.0000
0.0013	16.0	15472	0.0001	0.9995	1.0	0.9997	1.0000
0.0012	17.0	16439	0.0001	1.0	1.0	1.0	1.0000
0.001	18.0	17406	0.0000	1.0	0.9995	0.9997	1.0000
0.0009	19.0	18373	0.0000	1.0	0.9995	0.9997	1.0000
0.0009	20.0	19340	0.0000	1.0	0.9995	0.9997	1.0000

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Task: Token Classification
Library: transformers
Type: canine
License: apache-2.0
Created: Feb 25, 2024
Updated: Feb 25, 2024