metadata
tags:
- generated_from_keras_callback
model-index:
- name: Mustafa21/layoutlm-funsd-tf
results: []
Mustafa21/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: 1.1546
- Validation Loss: 0.6939
- Train Overall Precision: 0.6387
- Train Overall Recall: 0.7381
- Train Overall F1: 0.6848
- Train Overall Accuracy: 0.7761
- 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 |
|---|---|---|---|---|---|---|
| 1.1546 | 0.6939 | 0.6387 | 0.7381 | 0.6848 | 0.7761 | 0 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.10.0
- Datasets 2.9.0
- Tokenizers 0.13.2