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trocr-base-printed_license_plates_ocr – AI Model by artbreguez | AlphaNeural AI
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artbreguez
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trocr-base-printed_license_plates_ocr
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transformers
pytorch
tensorboard
vision-encoder-decoder
image-to-text
generated_from_trainer
endpoints_compatible
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trocr-base-printed_license_plates_ocr
This model is a fine-tuned version of
microsoft/trocr-base-printed
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1550
Cer: 0.037
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
0.3034
1.0
2000
0.2454
0.0472
0.1451
2.0
4000
0.1550
0.037
Framework versions
Transformers 4.30.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.13.3
