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--- |
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base_model: microsoft/layoutlm-base-uncased |
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license: mit |
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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-cord-tf-colab |
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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-cord-tf-colab |
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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: 0.0426 |
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- Validation Loss: 0.1530 |
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- Train Overall Precision: 0.9498 |
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- Train Overall Recall: 0.9642 |
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- Train Overall F1: 0.9569 |
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- Train Overall Accuracy: 0.9669 |
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- Epoch: 7 |
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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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
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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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| 1.3249 | 0.5218 | 0.8344 | 0.8318 | 0.8331 | 0.8744 | 0 | |
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| 0.4002 | 0.2680 | 0.9113 | 0.9148 | 0.9130 | 0.9334 | 1 | |
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| 0.2153 | 0.2180 | 0.9062 | 0.9193 | 0.9127 | 0.9448 | 2 | |
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| 0.1483 | 0.1840 | 0.9430 | 0.9437 | 0.9433 | 0.9610 | 3 | |
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| 0.0940 | 0.1687 | 0.9383 | 0.9482 | 0.9432 | 0.9614 | 4 | |
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| 0.0740 | 0.1539 | 0.9463 | 0.9528 | 0.9496 | 0.9665 | 5 | |
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| 0.0600 | 0.1795 | 0.9355 | 0.9498 | 0.9426 | 0.9584 | 6 | |
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| 0.0426 | 0.1530 | 0.9498 | 0.9642 | 0.9569 | 0.9669 | 7 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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