This model is a fine-tuned version of Buseak/spellcorrector_17_02_050_qwerty on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0036
Precision: 0.9989
Recall: 0.9995
F1: 0.9992
Accuracy: 0.9991

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0368	1.0	967	0.0185	0.9935	0.9903	0.9919	0.9943
0.0329	2.0	1934	0.0159	0.9935	0.9887	0.9911	0.9952
0.0283	3.0	2901	0.0136	0.9952	0.9914	0.9933	0.9960
0.024	4.0	3868	0.0103	0.9952	0.9914	0.9933	0.9970
0.0209	5.0	4835	0.0090	0.9968	0.9936	0.9952	0.9973
0.0181	6.0	5802	0.0069	0.9978	0.9957	0.9968	0.9980
0.015	7.0	6769	0.0057	0.9989	0.9995	0.9992	0.9984
0.0132	8.0	7736	0.0045	0.9984	0.9995	0.9989	0.9988
0.0119	9.0	8703	0.0039	0.9989	0.9995	0.9992	0.9990
0.0104	10.0	9670	0.0036	0.9989	0.9995	0.9992	0.9991

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

Buseak/spellcorrector_17_02_050_qwerty_v4

spellcorrector_17_02_050_qwerty_v4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Buseak/
spellcorrector_17_02_050_qwerty_v4