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

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stevethecur/
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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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: 0.5937
Validation Loss: 1.1902
Train Overall Precision: 0.4751
Train Overall Recall: 0.5850
Train Overall F1: 0.5244
Train Overall Accuracy: 0.6201
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: {'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
1.6536	1.4851	0.1737	0.3176	0.2245	0.4025	0
1.3258	1.2951	0.2957	0.4325	0.3513	0.4737	1
1.1768	1.1266	0.3614	0.4892	0.4157	0.5489	2
1.0113	1.0274	0.3889	0.5294	0.4484	0.6040	3
0.9157	1.0104	0.4428	0.5414	0.4871	0.6152	4
0.7484	1.0807	0.4742	0.5354	0.5029	0.6153	5
0.6791	1.2077	0.4709	0.5434	0.5045	0.6049	6
0.5937	1.1902	0.4751	0.5850	0.5244	0.6201	7

Framework versions

Transformers 4.38.1
TensorFlow 2.15.0
Datasets 2.17.1
Tokenizers 0.15.2