spell_correction_F04_LM – AI Model by monideep2255 | AlphaNeural AI

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monideep2255/
spell_correction_F04_LM

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text2text-generation

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spell_correction_F04_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: 0.0242

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	269	0.3354
1.9104	2.0	538	0.0604
1.9104	3.0	807	0.0405
0.0433	4.0	1076	0.0337
0.0433	5.0	1345	0.0285
0.0164	6.0	1614	0.0263
0.0164	7.0	1883	0.0268
0.0099	8.0	2152	0.0244
0.0099	9.0	2421	0.0262
0.0065	10.0	2690	0.0264
0.0065	11.0	2959	0.0255
0.0044	12.0	3228	0.0243
0.0044	13.0	3497	0.0262
0.0037	14.0	3766	0.0247
0.0035	15.0	4035	0.0233
0.0035	16.0	4304	0.0230
0.0031	17.0	4573	0.0242
0.0031	18.0	4842	0.0223
0.0029	19.0	5111	0.0226
0.0029	20.0	5380	0.0245
0.0023	21.0	5649	0.0249
0.0023	22.0	5918	0.0244
0.0023	23.0	6187	0.0238
0.0023	24.0	6456	0.0237
0.0025	25.0	6725	0.0242
0.0025	26.0	6994	0.0239
0.0017	27.0	7263	0.0236
0.0018	28.0	7532	0.0242
0.0018	29.0	7801	0.0240
0.0016	30.0	8070	0.0242

Framework versions

Transformers 4.28.0
Pytorch 1.12.1+cu102
Datasets 2.13.1
Tokenizers 0.13.3