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layoutlmv2-finetuned-funsd – AI Model by Narsil | AlphaNeural AI
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Narsil
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layoutlmv2-finetuned-funsd
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transformers
pytorch
tensorboard
layoutlmv2
token-classification
generated_from_trainer
object-detection
funsd
autotrain_compatible
endpoints_compatible
us
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layoutlmv2-finetuned-funsd
This model is a fine-tuned version of
microsoft/layoutlmv2-base-uncased
on the funsd 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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.9.0.dev0
Pytorch 1.8.0+cu101
Datasets 1.9.0
Tokenizers 0.10.3