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spelling-correction-english-base-finetuned-places – AI Model by grantslewis | AlphaNeural AI
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grantslewis
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spelling-correction-english-base-finetuned-places
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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-finetuned-places
This model is a fine-tuned version of
oliverguhr/spelling-correction-english-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1461
Cer: 0.0143
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.1608
1.0
875
0.1461
0.0143
0.13
2.0
1750
0.1461
0.0143
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
