spellcorrector_1709_v7

Buseak/spellcorrector_1709_v7

spellcorrector_1709_v7 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 17, 2023
Updated: Sep 17, 2023
SHA: 46e99ce0

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Model card

From the Hugging Face model README

spellcorrector_1709_v7

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: 0.0885
Precision: 0.9610
Recall: 0.9739
F1: 0.9674
Accuracy: 0.9742

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
0.2583	1.0	1951	0.2210	0.8849	0.9710	0.9260	0.9443
0.2244	2.0	3902	0.1992	0.8954	0.9685	0.9305	0.9466
0.2099	3.0	5853	0.1868	0.9021	0.9684	0.9341	0.9482
0.1989	4.0	7804	0.1789	0.9109	0.9634	0.9364	0.9500
0.1926	5.0	9755	0.1694	0.9141	0.9652	0.9389	0.9518
0.1837	6.0	11706	0.1605	0.9160	0.9697	0.9421	0.9540
0.1817	7.0	13657	0.1547	0.9209	0.9656	0.9427	0.9549
0.1723	8.0	15608	0.1484	0.9226	0.9687	0.9451	0.9564
0.1692	9.0	17559	0.1442	0.9269	0.9649	0.9455	0.9571
0.1642	10.0	19510	0.1386	0.9269	0.9697	0.9478	0.9587
0.1578	11.0	21461	0.1327	0.9310	0.9693	0.9497	0.9600
0.148	12.0	23412	0.1231	0.9393	0.9674	0.9532	0.9630
0.1455	13.0	25363	0.1172	0.9413	0.9711	0.9560	0.9653
0.1402	14.0	27314	0.1123	0.9476	0.9673	0.9573	0.9662
0.1323	15.0	29265	0.1056	0.9511	0.9694	0.9602	0.9685
0.1269	16.0	31216	0.0989	0.9521	0.9740	0.9629	0.9709
0.1225	17.0	33167	0.0953	0.9575	0.9716	0.9645	0.9720
0.1186	18.0	35118	0.0907	0.9582	0.9744	0.9662	0.9735
0.1169	19.0	37069	0.0897	0.9606	0.9734	0.9670	0.9738
0.113	20.0	39020	0.0885	0.9610	0.9739	0.9674	0.9742

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 17, 2023
Updated: Sep 17, 2023