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layoutlm_csvmodel_perioli2
This model is a fine-tuned version of microsoft/layoutlmv3-base on the sroie dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- 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: 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: 1500
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 5.56 | 100 | 0.0068 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 11.11 | 200 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 16.67 | 300 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 22.22 | 400 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.087 | 27.78 | 500 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.087 | 33.33 | 600 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.087 | 38.89 | 700 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.087 | 44.44 | 800 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.087 | 50.0 | 900 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 55.56 | 1000 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 61.11 | 1100 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 66.67 | 1200 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 72.22 | 1300 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 77.78 | 1400 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0002 | 83.33 | 1500 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.2.2
- Tokenizers 0.13.2
