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trocr-base-printed_license_plates_ocr_timestamp – AI Model by PQAshwin | AlphaNeural AI
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PQAshwin
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trocr-base-printed_license_plates_ocr_timestamp
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transformers
tensorboard
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
microsoft/trocr-base-printed
finetune
endpoints_compatible
us
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trocr-base-printed_license_plates_ocr_timestamp
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: 0.0631
Cer: 0.01
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
10.4185
1.0
315
0.3811
0.0792
0.5419
2.0
630
0.1693
0.0311
0.5419
3.0
945
0.0963
0.0134
0.0944
4.0
1260
0.0631
0.01
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
