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LayoutLMv3_maveriq_tobacco3482_2023-07-04
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9452
- Accuracy: 0.28
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.96 | 3 | 2.1539 | 0.28 |
| No log | 1.96 | 6 | 2.0282 | 0.275 |
| No log | 2.96 | 9 | 2.0001 | 0.265 |
| No log | 3.96 | 12 | 1.9591 | 0.265 |
| No log | 4.96 | 15 | 1.9452 | 0.28 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2
