spell_correction_M03_LM – AI Model by monideep2255 | AlphaNeural AI

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monideep2255/
spell_correction_M03_LM

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text2text-generation

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spell_correction_M03_LM

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

Loss: 0.0205

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	261	0.3991
1.9255	2.0	522	0.0588
1.9255	3.0	783	0.0308
0.05	4.0	1044	0.0239
0.05	5.0	1305	0.0205
0.0192	6.0	1566	0.0203
0.0192	7.0	1827	0.0201
0.012	8.0	2088	0.0191
0.012	9.0	2349	0.0199
0.0077	10.0	2610	0.0193
0.0077	11.0	2871	0.0189
0.0069	12.0	3132	0.0196
0.0069	13.0	3393	0.0203
0.0063	14.0	3654	0.0193
0.0063	15.0	3915	0.0198
0.0057	16.0	4176	0.0196
0.0057	17.0	4437	0.0198
0.0034	18.0	4698	0.0202
0.0034	19.0	4959	0.0204
0.0032	20.0	5220	0.0208
0.0032	21.0	5481	0.0206
0.0033	22.0	5742	0.0207
0.003	23.0	6003	0.0208
0.003	24.0	6264	0.0208
0.0025	25.0	6525	0.0206
0.0025	26.0	6786	0.0206
0.0029	27.0	7047	0.0205
0.0029	28.0	7308	0.0204
0.0026	29.0	7569	0.0206
0.0026	30.0	7830	0.0205

Framework versions

Transformers 4.28.0
Pytorch 1.12.1+cu102
Datasets 2.13.1
Tokenizers 0.13.3