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layoutlmv3-base-finetuned-locally – AI Model by pavel-nesterov | AlphaNeural AI
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pavel-nesterov
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layoutlmv3-base-finetuned-locally
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transformers
pytorch
layoutlmv3
token-classification
generated_from_trainer
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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layoutlmv3-base-finetuned-locally
This model is a fine-tuned version of
microsoft/layoutlmv3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3438
Precision: 0.8222
Recall: 0.9024
F1: 0.8605
Accuracy: 0.9465
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: 4e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Training results
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.8.0
Tokenizers 0.13.2
