spell_correction_M04_V3 – AI Model by monideep2255 | AlphaNeural AI

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spell_correction_M04_V3

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text2text-generation

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spell_correction_M04_V3

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: 0.0178

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	0.2687
1.8467	2.0	538	0.0361
1.8467	3.0	807	0.0241
0.0357	4.0	1076	0.0198
0.0357	5.0	1345	0.0199
0.0159	6.0	1614	0.0175
0.0159	7.0	1883	0.0179
0.0077	8.0	2152	0.0189
0.0077	9.0	2421	0.0183
0.006	10.0	2690	0.0183
0.006	11.0	2959	0.0191
0.0044	12.0	3228	0.0186
0.0044	13.0	3497	0.0192
0.0033	14.0	3766	0.0189
0.0024	15.0	4035	0.0173
0.0024	16.0	4304	0.0171
0.0026	17.0	4573	0.0183
0.0026	18.0	4842	0.0181
0.0021	19.0	5111	0.0177
0.0021	20.0	5380	0.0174
0.0015	21.0	5649	0.0173
0.0015	22.0	5918	0.0174
0.0016	23.0	6187	0.0178
0.0016	24.0	6456	0.0180
0.0018	25.0	6725	0.0175
0.0018	26.0	6994	0.0171
0.0017	27.0	7263	0.0175
0.0014	28.0	7532	0.0177
0.0014	29.0	7801	0.0178
0.0013	30.0	8070	0.0178

Framework versions

Transformers 4.28.0
Pytorch 1.12.1+cu102
Datasets 2.13.1
Tokenizers 0.13.3