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image-text-captcha – AI Model by dragonstar | AlphaNeural AI
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image-text-captcha
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transformers
pytorch
tensorboard
vision-encoder-decoder
image-to-text
generated_from_trainer
endpoints_compatible
us
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image-text-captcha
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: 0.1041
Cer: 0.0161
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
11.8912
1.0
217
0.2386
0.0774
11.8912
2.0
434
0.1543
0.0452
0.4293
3.0
651
0.1088
0.0194
0.4293
4.0
868
0.1233
0.0323
0.0775
5.0
1085
0.1041
0.0161
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
