spellcorrector_17_02_050_qwerty

Buseak/spellcorrector_17_02_050_qwerty

spellcorrector_17_02_050_qwerty 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 17, 2024
Updated: Feb 17, 2024
SHA: fee0370a

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Base models

google/canine-s

Model card

From the Hugging Face model README

spellcorrector_17_02_050_qwerty

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: 0.0163
Precision: 0.9930
Recall: 0.9887
F1: 0.9909
Accuracy: 0.9952

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
0.4639	1.0	967	0.1649	0.9619	0.9624	0.9622	0.9608
0.1737	2.0	1934	0.1300	0.9620	0.9656	0.9638	0.9664
0.145	3.0	2901	0.1099	0.9678	0.9694	0.9686	0.9708
0.1222	4.0	3868	0.0906	0.9699	0.9699	0.9699	0.9752
0.105	5.0	4835	0.0736	0.9726	0.9699	0.9712	0.9792
0.0933	6.0	5802	0.0633	0.9758	0.9732	0.9745	0.9817
0.0807	7.0	6769	0.0531	0.9822	0.9780	0.9801	0.9844
0.0715	8.0	7736	0.0468	0.9839	0.9828	0.9834	0.9864
0.0643	9.0	8703	0.0404	0.9833	0.9823	0.9828	0.9880
0.0575	10.0	9670	0.0356	0.9903	0.9866	0.9884	0.9894
0.0525	11.0	10637	0.0317	0.9887	0.9866	0.9876	0.9905
0.0481	12.0	11604	0.0281	0.9908	0.9871	0.9890	0.9915
0.0444	13.0	12571	0.0255	0.9919	0.9871	0.9895	0.9923
0.0417	14.0	13538	0.0235	0.9924	0.9877	0.9900	0.9930
0.0382	15.0	14505	0.0211	0.9925	0.9882	0.9903	0.9937
0.0358	16.0	15472	0.0198	0.9930	0.9887	0.9909	0.9941
0.034	17.0	16439	0.0184	0.9930	0.9882	0.9906	0.9946
0.0323	18.0	17406	0.0173	0.9930	0.9882	0.9906	0.9949
0.0306	19.0	18373	0.0167	0.9930	0.9887	0.9909	0.9951
0.0304	20.0	19340	0.0163	0.9930	0.9887	0.9909	0.9952

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

Task: Token Classification
Library: transformers
Type: canine
License: apache-2.0
Created: Feb 17, 2024
Updated: Feb 17, 2024