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layoutlm-ttform
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: 0.8035
- Validation Loss: 0.6094
- Train Overall Precision: 0.8793
- Train Overall Recall: 0.7969
- Train Overall F1: 0.8361
- Train Overall Accuracy: 0.9204
- Epoch: 7
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 |
|---|---|---|---|---|---|---|
| 1.9166 | 1.6851 | 0.125 | 0.1562 | 0.1389 | 0.6567 | 0 |
| 1.7084 | 1.4917 | 0.3793 | 0.3438 | 0.3607 | 0.7811 | 1 |
| 1.5343 | 1.3162 | 0.4151 | 0.3438 | 0.3761 | 0.7811 | 2 |
| 1.3620 | 1.1511 | 0.4528 | 0.375 | 0.4103 | 0.8159 | 3 |
| 1.2149 | 0.9970 | 0.5818 | 0.5 | 0.5378 | 0.8358 | 4 |
| 1.0742 | 0.8546 | 0.8393 | 0.7344 | 0.7833 | 0.8905 | 5 |
| 0.9422 | 0.7259 | 0.8393 | 0.7344 | 0.7833 | 0.9154 | 6 |
| 0.8035 | 0.6094 | 0.8793 | 0.7969 | 0.8361 | 0.9204 | 7 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
