metadata
library_name: transformers
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: dharunsk62/layoutlm-funsd-tf
results: []
dharunsk62/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: 1.0108
- Validation Loss: 0.8129
- Train Overall Precision: 0.6004
- Train Overall Recall: 0.6929
- Train Overall F1: 0.6434
- Train Overall Accuracy: 0.7439
- Epoch: 1
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 |
|---|---|---|---|---|---|---|
| 1.5060 | 1.2508 | 0.4032 | 0.4777 | 0.4373 | 0.6024 | 0 |
| 1.0108 | 0.8129 | 0.6004 | 0.6929 | 0.6434 | 0.7439 | 1 |
Framework versions
- Transformers 4.46.3
- TensorFlow 2.17.1
- Datasets 3.2.0
- Tokenizers 0.20.3