layoutlmv2-base-uncased_finetuned_passport
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9620
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.409 | 2.78 | 50 | 2.3859 |
| 1.959 | 5.56 | 100 | 2.1196 |
| 1.5433 | 8.33 | 150 | 1.7951 |
| 1.1748 | 11.11 | 200 | 1.5172 |
| 0.87 | 13.89 | 250 | 1.3040 |
| 0.6342 | 16.67 | 300 | 1.1525 |
| 0.4597 | 19.44 | 350 | 1.0532 |
| 0.3338 | 22.22 | 400 | 0.9942 |
| 0.2429 | 25.0 | 450 | 0.9632 |
| 0.1786 | 27.78 | 500 | 0.9509 |
| 0.1347 | 30.56 | 550 | 0.9486 |
| 0.143 | 33.33 | 600 | 0.9500 |
| 0.0976 | 36.11 | 650 | 0.9527 |
| 0.0874 | 38.89 | 700 | 0.9556 |
| 0.0808 | 41.67 | 750 | 0.9582 |
| 0.0746 | 44.44 | 800 | 0.9603 |
| 0.073 | 47.22 | 850 | 0.9615 |
| 0.0717 | 50.0 | 900 | 0.9620 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for EphronM/layoutlmv2-base-uncased_finetuned_passport
Base model
microsoft/layoutlmv2-base-uncased