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layoutlm_csvmodel_largetoken2
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: 500
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 0.09 | 50 | 0.0020 | 0.9336 | 0.9768 | 0.9547 | 0.9998 |
No log | 0.19 | 100 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.28 | 150 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.37 | 200 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.47 | 250 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.56 | 300 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.65 | 350 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.75 | 400 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.84 | 450 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0073 | 0.93 | 500 | 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