cor-c/layoutlm-cord-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: 2.3801
• Validation Loss: 2.0295
• Train Overall Precision: 0.0036
• Train Overall Recall: 0.0025
• Train Overall F1: 0.0030
• Train Overall Accuracy: 0.3419
• Epoch: 0

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
2.3801	2.0295	0.0036	0.0025	0.0030	0.3419	0

Framework versions

• Transformers 4.41.0.dev0
• TensorFlow 2.16.1
• Datasets 2.19.1
• Tokenizers 0.19.1