layoutlm-funsd-tf

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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: 0.2409
• Validation Loss: 0.6905
• Train Overall Precision: 0.7213
• Train Overall Recall: 0.7858
• Train Overall F1: 0.7522
• Train Overall Accuracy: 0.7998
• 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': np.float32(3e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Framework versions

• Transformers 4.46.0
• TensorFlow 2.18.0
• Datasets 3.0.2
• Tokenizers 0.20.1