layoutlm-funsd-tf – AI Model by prabakar2307 | AlphaNeural AI

You can deploy this model and start earning money today!

prabakar2307/
layoutlm-funsd-tf

like

0

token-classification

generated_from_keras_callback

microsoft/layoutlm-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

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: 0.2459
Validation Loss: 0.6795
Train Overall Precision: 0.7276
Train Overall Recall: 0.7812
Train Overall F1: 0.7534
Train Overall Accuracy: 0.8032
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
1.7017	1.4088	0.2201	0.2373	0.2284	0.4952	0
1.1605	0.8580	0.5955	0.6849	0.6371	0.7371	1
0.7603	0.6747	0.6574	0.7220	0.6882	0.7808	2
0.5694	0.6343	0.6674	0.7551	0.7086	0.7919	3
0.4494	0.6429	0.6828	0.7787	0.7276	0.7887	4
0.3628	0.6226	0.7220	0.7752	0.7476	0.8112	5
0.3092	0.6537	0.7172	0.7837	0.7490	0.8010	6
0.2459	0.6795	0.7276	0.7812	0.7534	0.8032	7

Framework versions

Transformers 4.44.2
TensorFlow 2.17.0
Datasets 3.0.1
Tokenizers 0.19.1