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--- |
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base_model: microsoft/layoutlm-base-uncased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: layoutlm-funsd-tf |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# layoutlm-funsd-tf |
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This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.4674 |
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- Validation Loss: 0.6405 |
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- Train Overall Precision: 0.7082 |
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- Train Overall Recall: 0.7637 |
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- Train Overall F1: 0.7349 |
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- Train Overall Accuracy: 0.7984 |
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- Epoch: 4 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch | |
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|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
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| 1.7185 | 1.4324 | 0.2236 | 0.2805 | 0.2488 | 0.5123 | 0 | |
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| 1.1768 | 0.9053 | 0.5468 | 0.6744 | 0.6039 | 0.7257 | 1 | |
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| 0.7782 | 0.6968 | 0.6512 | 0.7250 | 0.6861 | 0.7760 | 2 | |
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| 0.5777 | 0.6506 | 0.6826 | 0.7682 | 0.7229 | 0.7924 | 3 | |
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| 0.4674 | 0.6405 | 0.7082 | 0.7637 | 0.7349 | 0.7984 | 4 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- TensorFlow 2.13.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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