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layoutlm-funsd-tf – AI Model by Surya6379 | AlphaNeural AI
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Surya6379
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layoutlm-funsd-tf
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transformers
tf
layoutlm
token-classification
generated_from_keras_callback
microsoft/layoutlm-base-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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layoutlm-funsd-tf
This model is a fine-tuned version of
microsoft/layoutlm-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2620
Validation Loss: 0.6632
Epoch: 7
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:
optimizer: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
1.7551
1.4766
0
1.2034
0.8819
1
0.7697
0.7089
2
0.5653
0.6289
3
0.4428
0.6143
4
0.3687
0.6385
5
0.3122
0.6999
6
0.2620
0.6632
7
Framework versions
Transformers 4.40.1
TensorFlow 2.15.0
Datasets 2.19.0
Tokenizers 0.19.1
