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factura
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: 0.0039
- Precision: 0.9341
- Recall: 0.9497
- F1: 0.9418
- Accuracy: 0.9989
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: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.67 | 100 | 0.0168 | 0.8380 | 0.8380 | 0.8380 | 0.9962 |
| No log | 3.33 | 200 | 0.0061 | 0.9171 | 0.9274 | 0.9222 | 0.9982 |
| No log | 5.0 | 300 | 0.0046 | 0.9282 | 0.9385 | 0.9333 | 0.9987 |
| No log | 6.67 | 400 | 0.0056 | 0.9333 | 0.9385 | 0.9359 | 0.9984 |
| 0.0228 | 8.33 | 500 | 0.0039 | 0.9341 | 0.9497 | 0.9418 | 0.9989 |
| 0.0228 | 10.0 | 600 | 0.0034 | 0.9282 | 0.9385 | 0.9333 | 0.9988 |
| 0.0228 | 11.67 | 700 | 0.0035 | 0.9180 | 0.9385 | 0.9282 | 0.9988 |
| 0.0228 | 13.33 | 800 | 0.0042 | 0.9180 | 0.9385 | 0.9282 | 0.9988 |
| 0.0228 | 15.0 | 900 | 0.0039 | 0.9180 | 0.9385 | 0.9282 | 0.9988 |
| 0.0008 | 16.67 | 1000 | 0.0037 | 0.9180 | 0.9385 | 0.9282 | 0.9988 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.2.2
- Tokenizers 0.13.2
