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TrOCR_0208 – AI Model by yoon1000 | AlphaNeural AI
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TrOCR_0208
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
microsoft/trocr-base-stage1
finetune
endpoints_compatible
us
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TrOCR_0208
This model is a fine-tuned version of
microsoft/trocr-base-stage1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8231
Cer: 0.0842
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: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
1.8364
0.68
200
1.5199
0.1926
1.3561
1.37
400
1.4427
0.1711
0.382
2.05
600
0.9931
0.1115
0.343
2.74
800
0.8231
0.0842
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.0
