--- tags: - generated_from_keras_callback model-index: - name: layoutlm-funsd-tf results: [] --- # layoutlm-funsd-tf This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.2451 - Validation Loss: 0.7339 - Train Overall Precision: 0.7247 - Train Overall Recall: 0.8058 - Train Overall F1: 0.7631 - Train Overall Accuracy: 0.7976 - 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 | |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| | 1.6758 | 1.4035 | 0.2734 | 0.3191 | 0.2945 | 0.5113 | 0 | | 1.1350 | 0.8802 | 0.5626 | 0.6538 | 0.6048 | 0.7313 | 1 | | 0.7417 | 0.6927 | 0.6604 | 0.7602 | 0.7068 | 0.7805 | 2 | | 0.5568 | 0.6715 | 0.7039 | 0.7501 | 0.7263 | 0.7823 | 3 | | 0.4493 | 0.6464 | 0.7073 | 0.7782 | 0.7410 | 0.7980 | 4 | | 0.3732 | 0.6112 | 0.7108 | 0.7858 | 0.7464 | 0.8182 | 5 | | 0.2949 | 0.6429 | 0.7123 | 0.7988 | 0.7531 | 0.8070 | 6 | | 0.2451 | 0.7339 | 0.7247 | 0.8058 | 0.7631 | 0.7976 | 7 | ### Framework versions - Transformers 4.26.0 - TensorFlow 2.9.2 - Datasets 2.9.0 - Tokenizers 0.13.2