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trocr-fine-tuned – AI Model by SaketR1 | AlphaNeural AI
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SaketR1
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trocr-fine-tuned
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
microsoft/trocr-base-handwritten
finetune
mit
endpoints_compatible
us
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trocr-fine-tuned
This model is a fine-tuned version of
microsoft/trocr-base-handwritten
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0567
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: 8
eval_batch_size: 8
seed: 42
distributed_type: tpu
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0007
1.0
724
0.0435
0.073
2.0
1448
0.0687
0.0001
3.0
2172
0.0567
Framework versions
Transformers 4.52.2
Pytorch 2.6.0+cpu
Tokenizers 0.21.1
