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layoutlmv3-finetuned-generated – AI Model by Saed2023 | AlphaNeural AI
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Saed2023
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layoutlmv3-finetuned-generated
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transformers
pytorch
tensorboard
layoutlmv3
token-classification
generated_from_trainer
generated
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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layoutlmv3-finetuned-generated
This model is a fine-tuned version of
microsoft/layoutlmv3-base
on the generated dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0009
eval_precision: 1.0
eval_recall: 1.0
eval_f1: 1.0
eval_accuracy: 1.0
eval_runtime: 4.3549
eval_samples_per_second: 11.481
eval_steps_per_second: 5.741
epoch: 30.0
step: 1500
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2500
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3