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layoutlmv3-finetuned-facturesv1 – AI Model by haronbenfaida | AlphaNeural AI

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haronbenfaida/
layoutlmv3-finetuned-facturesv1

like

0

token-classification

generated_from_trainer

microsoft/layoutlmv3-base

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

Views

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test

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

eval_loss: 0.9442
eval_precision: 0.8653
eval_recall: 0.7740
eval_f1: 0.8171
eval_accuracy: 0.9284
eval_runtime: 77.5017
eval_samples_per_second: 18.064
eval_steps_per_second: 4.516
epoch: 1.7707
step: 3807

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-06
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: 25000

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1