layoutlmv3-finetuned-funsd
This model is a fine-tuned version of microsoft/layoutlmv3-base on the funsd dataset. It achieves the following results on the evaluation set:
- Loss: 1.0068
- Precision: 0.7998
- Recall: 0.8376
- F1: 0.8182
- Accuracy: 0.8261
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 3.33 | 250 | 0.5828 | 0.7015 | 0.8033 | 0.7490 | 0.8022 |
| 0.6702 | 6.67 | 500 | 0.5765 | 0.7499 | 0.8073 | 0.7775 | 0.8253 |
| 0.6702 | 10.0 | 750 | 0.7082 | 0.7755 | 0.8236 | 0.7988 | 0.8160 |
| 0.1797 | 13.33 | 1000 | 0.7819 | 0.7807 | 0.8366 | 0.8077 | 0.8256 |
| 0.1797 | 16.67 | 1250 | 0.8199 | 0.7997 | 0.8311 | 0.8151 | 0.8227 |
| 0.0745 | 20.0 | 1500 | 0.9025 | 0.7943 | 0.8286 | 0.8111 | 0.8231 |
| 0.0745 | 23.33 | 1750 | 0.9159 | 0.7941 | 0.8470 | 0.8197 | 0.8248 |
| 0.041 | 26.67 | 2000 | 1.0012 | 0.7989 | 0.8385 | 0.8182 | 0.8210 |
| 0.041 | 30.0 | 2250 | 0.9852 | 0.8024 | 0.8450 | 0.8231 | 0.8301 |
| 0.0246 | 33.33 | 2500 | 1.0068 | 0.7998 | 0.8376 | 0.8182 | 0.8261 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3