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tateandlyle_1.0
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: 0.0100
- 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: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.85 | 100 | 0.4898 | 0.4570 | 0.2717 | 0.3407 | 0.8833 |
| No log | 3.7 | 200 | 0.1878 | 0.8613 | 0.8071 | 0.8333 | 0.9670 |
| No log | 5.56 | 300 | 0.0765 | 0.9518 | 0.9331 | 0.9423 | 0.9914 |
| No log | 7.41 | 400 | 0.0359 | 0.9961 | 0.9961 | 0.9961 | 0.9987 |
| 0.3458 | 9.26 | 500 | 0.0216 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.3458 | 11.11 | 600 | 0.0156 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.3458 | 12.96 | 700 | 0.0127 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.3458 | 14.81 | 800 | 0.0111 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.3458 | 16.67 | 900 | 0.0103 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0241 | 18.52 | 1000 | 0.0100 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.2.2
- Tokenizers 0.13.3
