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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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base_model: microsoft/layoutlm-base-uncased |
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model-index: |
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- name: layoutlm-invoice-tf-1 |
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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-1 |
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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: 0.2994 |
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- Validation Loss: 0.3489 |
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- Train Overall Precision: 0.5682 |
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- Train Overall Recall: 0.5668 |
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- Train Overall F1: 0.5675 |
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- Train Overall Accuracy: 0.8973 |
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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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| 2.4376 | 2.0394 | 0.0 | 0.0 | 0.0 | 0.3247 | 0 | |
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| 1.7800 | 1.4827 | 0.0112 | 0.0202 | 0.0144 | 0.5774 | 1 | |
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| 1.3231 | 1.0832 | 0.0710 | 0.1008 | 0.0833 | 0.6988 | 2 | |
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| 0.9662 | 0.8311 | 0.1626 | 0.2015 | 0.1800 | 0.7421 | 3 | |
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| 0.7250 | 0.6259 | 0.2949 | 0.3350 | 0.3137 | 0.8371 | 4 | |
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| 0.5245 | 0.4803 | 0.4049 | 0.4131 | 0.4090 | 0.8646 | 5 | |
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| 0.3951 | 0.3957 | 0.5206 | 0.5088 | 0.5146 | 0.8892 | 6 | |
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| 0.2994 | 0.3489 | 0.5682 | 0.5668 | 0.5675 | 0.8973 | 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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