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layoutlmv3-finetuned-wildreceipt – AI Model by Andre002wp | AlphaNeural AI

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Andre002wp/
layoutlmv3-finetuned-wildreceipt

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0

token-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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layoutlmv3-finetuned-wildreceipt

This model is a fine-tuned version of microsoft/layoutlmv3-base on the wildreceipt dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2996
eval_precision: 0.8566
eval_recall: 0.8614
eval_f1: 0.8590
eval_accuracy: 0.9178
eval_runtime: 51.7898
eval_samples_per_second: 9.114
eval_steps_per_second: 2.278
epoch: 4.97
step: 1577

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 4000

Framework versions

Transformers 4.22.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1