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layoutlm-funsd-tf
moisesmota/layoutlm-funsd-tf
layoutlm-funsd-tf is a token classification model from moisesmota. Use it when you need labels on individual words, such as names. It is set up for transformers.
probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- layoutlm
- Access
- Public
- Created
- May 3, 2023
- Updated
- May 3, 2023
- SHA
- 35082127
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Model card
From the Hugging Face model README
<!-- 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. -->
moisesmota/layoutlm-funsd-tf
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5782
- Validation Loss: 0.6716
- Train Overall Precision: 0.6899
- Train Overall Recall: 0.7511
- Train Overall F1: 0.7192
- Train Overall Accuracy: 0.7940
- Epoch: 3
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- 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}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 1.7347 | 1.4126 | 0.2336 | 0.2358 | 0.2347 | 0.5037 | 0 |
| 1.1975 | 0.8970 | 0.5712 | 0.6503 | 0.6082 | 0.7056 | 1 |
| 0.7894 | 0.7121 | 0.6420 | 0.7270 | 0.6819 | 0.7720 | 2 |
| 0.5782 | 0.6716 | 0.6899 | 0.7511 | 0.7192 | 0.7940 | 3 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.11.0
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlm
- Created
- May 3, 2023
- Updated
- May 3, 2023