spell_correction_F01_LM – AI Model by monideep2255 | AlphaNeural AI

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monideep2255/
spell_correction_F01_LM

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text2text-generation

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spell_correction_F01_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: 0.0147

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	294	0.1889
1.8488	2.0	588	0.0392
1.8488	3.0	882	0.0260
0.0369	4.0	1176	0.0212
0.0369	5.0	1470	0.0170
0.0182	6.0	1764	0.0162
0.0105	7.0	2058	0.0173
0.0105	8.0	2352	0.0177
0.0083	9.0	2646	0.0176
0.0083	10.0	2940	0.0164
0.0057	11.0	3234	0.0149
0.0037	12.0	3528	0.0168
0.0037	13.0	3822	0.0164
0.003	14.0	4116	0.0156
0.003	15.0	4410	0.0151
0.003	16.0	4704	0.0152
0.003	17.0	4998	0.0149
0.0028	18.0	5292	0.0153
0.002	19.0	5586	0.0146
0.002	20.0	5880	0.0147
0.0021	21.0	6174	0.0146
0.0021	22.0	6468	0.0149
0.0025	23.0	6762	0.0146
0.0018	24.0	7056	0.0150
0.0018	25.0	7350	0.0147
0.0021	26.0	7644	0.0145
0.0021	27.0	7938	0.0147
0.0017	28.0	8232	0.0146
0.0014	29.0	8526	0.0147
0.0014	30.0	8820	0.0147

Framework versions

Transformers 4.28.0
Pytorch 1.12.1+cu102
Datasets 2.13.1
Tokenizers 0.13.3