| | ---
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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-funsd-tf
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| | results: []
|
| | ---
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| |
|
| | <!-- This model card has been generated automatically according to the information Keras had access to. You should
|
| | probably proofread and complete it, then remove this comment. -->
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| |
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| | # layoutlm-funsd-tf
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| |
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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: 0.2406
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| | - Validation Loss: 0.7155
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| | - Train Overall Precision: 0.7459
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| | - Train Overall Recall: 0.7893
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| | - Train Overall F1: 0.7669
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| | - Train Overall Accuracy: 0.8064
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| | - Epoch: 7
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
|
| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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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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| |
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| | ### Training results
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| |
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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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| | | 1.7115 | 1.4279 | 0.2575 | 0.2965 | 0.2757 | 0.4884 | 0 |
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| | | 1.1520 | 0.8490 | 0.5994 | 0.6854 | 0.6395 | 0.7372 | 1 |
|
| | | 0.7816 | 0.7069 | 0.6391 | 0.7471 | 0.6889 | 0.7808 | 2 |
|
| | | 0.5815 | 0.6601 | 0.7089 | 0.7672 | 0.7369 | 0.7992 | 3 |
|
| | | 0.4460 | 0.6306 | 0.7093 | 0.7787 | 0.7424 | 0.8060 | 4 |
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| | | 0.3658 | 0.6575 | 0.7372 | 0.7812 | 0.7586 | 0.8111 | 5 |
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| | | 0.2926 | 0.6658 | 0.7240 | 0.7832 | 0.7525 | 0.8096 | 6 |
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| | | 0.2406 | 0.7155 | 0.7459 | 0.7893 | 0.7669 | 0.8064 | 7 |
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| |
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| |
|
| | ### Framework versions
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| |
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| | - Transformers 4.41.2
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| | - TensorFlow 2.16.1
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| | - Datasets 2.19.2
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| | - Tokenizers 0.19.1
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| |
|
