metadata
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_trainer
datasets:
- funsd
model-index:
- name: layoutlm-funsd
results: []
layoutlm-funsd
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on the funsd dataset. It achieves the following results on the evaluation set:
- Loss: 0.9828
- Question: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}
- Overall Precision: 1.0
- Overall Recall: 1.0
- Overall F1: 1.0
- Overall Accuracy: 1.0
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:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Question | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|---|---|---|---|---|---|---|---|---|
| 1.585 | 1.0 | 38 | 1.3020 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0 | 1.0 | 1.0 | 1.0 |
| 1.1814 | 2.0 | 76 | 1.1133 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0 | 1.0 | 1.0 | 1.0 |
| 1.0181 | 3.0 | 114 | 1.0476 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.9213 | 4.0 | 152 | 1.0004 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.8337 | 5.0 | 190 | 0.9828 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2