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layoutlmv3-receipts – AI Model by Sameed1 | AlphaNeural AI
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layoutlmv3-receipts
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transformers
safetensors
layoutlmv3
token-classification
generated_from_trainer
microsoft/layoutlmv3-base
finetune
cc-by-nc-sa-4.0
endpoints_compatible
us
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layoutlmv3-receipts
This model is a fine-tuned version of
microsoft/layoutlmv3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0661
Precision: 0.8706
Recall: 0.9507
F1: 0.9089
Accuracy: 0.9798
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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
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
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.0
Pytorch 2.6.0+cu124
Datasets 4.2.0
Tokenizers 0.22.1
