license: mit | |
base_model: microsoft/layoutlm-base-uncased | |
tags: | |
- generated_from_keras_callback | |
model-index: | |
- name: layoutlm-funsd-tf | |
results: [] | |
<!-- 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. --> | |
# layoutlm-funsd-tf | |
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Train Loss: 0.2400 | |
- Validation Loss: 0.6581 | |
- 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 | Epoch | | |
|:----------:|:---------------:|:-----:| | |
| 1.7416 | 1.4933 | 0 | | |
| 1.2494 | 0.9719 | 1 | | |
| 0.8035 | 0.7523 | 2 | | |
| 0.5954 | 0.6298 | 3 | | |
| 0.4596 | 0.6250 | 4 | | |
| 0.3674 | 0.6055 | 5 | | |
| 0.2889 | 0.6418 | 6 | | |
| 0.2400 | 0.6581 | 7 | | |
### Framework versions | |
- Transformers 4.36.2 | |
- TensorFlow 2.15.0 | |
- Datasets 2.16.1 | |
- Tokenizers 0.15.0 | |