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--- |
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license: mit |
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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-invoice-tf-2 |
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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-invoice-tf-2 |
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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: 0.3115 |
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- Validation Loss: 0.3451 |
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- Train Overall Precision: 0.5831 |
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- Train Overall Recall: 0.5567 |
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- Train Overall F1: 0.5696 |
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- Train Overall Accuracy: 0.8995 |
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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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| 2.3655 | 2.0025 | 0.0056 | 0.0101 | 0.0072 | 0.3973 | 0 | |
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| 1.7668 | 1.5306 | 0.0185 | 0.0327 | 0.0237 | 0.5455 | 1 | |
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| 1.3422 | 1.1230 | 0.0595 | 0.0831 | 0.0693 | 0.6698 | 2 | |
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| 1.0006 | 0.9051 | 0.1393 | 0.1990 | 0.1639 | 0.7432 | 3 | |
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| 0.7743 | 0.6738 | 0.2127 | 0.2620 | 0.2348 | 0.8158 | 4 | |
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| 0.5996 | 0.5262 | 0.4035 | 0.4106 | 0.4070 | 0.8628 | 5 | |
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| 0.4179 | 0.3998 | 0.4856 | 0.4685 | 0.4769 | 0.8892 | 6 | |
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| 0.3115 | 0.3451 | 0.5831 | 0.5567 | 0.5696 | 0.8995 | 7 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- TensorFlow 2.16.1 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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