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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: 0.2612 |
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- Validation Loss: 0.6785 |
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- Train Overall Precision: 0.7279 |
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- Train Overall Recall: 0.8038 |
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- Train Overall F1: 0.7639 |
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- Train Overall Accuracy: 0.8047 |
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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: {'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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| 1.7332 | 1.4190 | 0.2417 | 0.2669 | 0.2537 | 0.5168 | 0 | |
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| 1.1874 | 0.9479 | 0.5511 | 0.5524 | 0.5517 | 0.7008 | 1 | |
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| 0.7973 | 0.7664 | 0.6409 | 0.6869 | 0.6631 | 0.7499 | 2 | |
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| 0.6030 | 0.6373 | 0.7067 | 0.7461 | 0.7259 | 0.7985 | 3 | |
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| 0.4735 | 0.6158 | 0.7182 | 0.7878 | 0.7514 | 0.8117 | 4 | |
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| 0.3720 | 0.6051 | 0.7093 | 0.7923 | 0.7485 | 0.8178 | 5 | |
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| 0.2951 | 0.6249 | 0.7227 | 0.8003 | 0.7595 | 0.8186 | 6 | |
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| 0.2612 | 0.6785 | 0.7279 | 0.8038 | 0.7639 | 0.8047 | 7 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.14.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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