layoutlm-funsd-tf – AI Model by dharunsk62 | AlphaNeural AI

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dharunsk62/
layoutlm-funsd-tf

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token-classification

generated_from_keras_callback

microsoft/layoutlm-base-uncased

autotrain_compatible

endpoints_compatible

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dharunsk62/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: 0.7220
Validation Loss: 0.7021
Train Overall Precision: 0.6606
Train Overall Recall: 0.7285
Train Overall F1: 0.6929
Train Overall Accuracy: 0.7748
Epoch: 2

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: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Train Overall Precision	Train Overall Recall	Train Overall F1	Train Overall Accuracy	Epoch
1.5060	1.2508	0.4032	0.4777	0.4373	0.6024	0
1.0108	0.8129	0.6004	0.6929	0.6434	0.7439	1
0.7220	0.7021	0.6606	0.7285	0.6929	0.7748	2

Framework versions

Transformers 4.46.3
TensorFlow 2.17.1
Datasets 3.2.0
Tokenizers 0.20.3