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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: moisesmota/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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# moisesmota/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: 0.5782 |
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- Validation Loss: 0.6716 |
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- Train Overall Precision: 0.6899 |
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- Train Overall Recall: 0.7511 |
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- Train Overall F1: 0.7192 |
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- Train Overall Accuracy: 0.7940 |
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- Epoch: 3 |
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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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| 1.7347 | 1.4126 | 0.2336 | 0.2358 | 0.2347 | 0.5037 | 0 | |
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| 1.1975 | 0.8970 | 0.5712 | 0.6503 | 0.6082 | 0.7056 | 1 | |
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| 0.7894 | 0.7121 | 0.6420 | 0.7270 | 0.6819 | 0.7720 | 2 | |
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| 0.5782 | 0.6716 | 0.6899 | 0.7511 | 0.7192 | 0.7940 | 3 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- TensorFlow 2.11.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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