layoutlmv3-test-2
This model is a fine-tuned version of microsoft/layoutlmv3-base on the cord dataset. It achieves the following results on the evaluation set:
- Loss: 0.6335
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0437 | 0.47 | 500 | 0.5549 |
| 0.0006 | 0.93 | 1000 | 0.6001 |
| 0.0005 | 1.4 | 1500 | 0.6243 |
| 0.0003 | 1.86 | 2000 | 0.6335 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for mathieu1256/layoutlmv3-test-2
Base model
microsoft/layoutlmv3-base