a-malinverno/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: nan
  • Validation Loss: nan
  • Train Overall Precision: 0.0
  • Train Overall Recall: 0.0
  • Train Overall F1: 0.0
  • Train Overall Accuracy: 0.2750
  • 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
nan nan 0.0 0.0 0.0 0.2750 0
nan nan 0.0 0.0 0.0 0.2750 1
nan nan 0.0 0.0 0.0 0.2750 2

Framework versions

  • Transformers 4.48.3
  • TensorFlow 2.18.0
  • Datasets 3.3.2
  • Tokenizers 0.21.0
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