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spelling-correction-english-base-location-unique-2-2-proportional – AI Model by grantslewis | AlphaNeural AI
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grantslewis
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spelling-correction-english-base-location-unique-2-2-proportional
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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spelling-correction-english-base-location-unique-2-2-proportional
This model is a fine-tuned version of
grantslewis/spelling-correction-english-base-location-unique-2-2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0771
Cer: 0.0183
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: 75
eval_batch_size: 75
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.097
1.0
5659
0.0771
0.0183
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1