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DocumentSegmentationModel – AI Model by GEOcite | AlphaNeural AI
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GEOcite
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DocumentSegmentationModel
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transformers
pytorch
layoutlmv2
token-classification
generated_from_trainer
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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layout-xlm-geocite-v2
This model is a fine-tuned version of
microsoft/layoutxlm-base
on the None dataset.
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-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2