layoutlmv2-base-uncased-finetuned-infovqa
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0870
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: 4
- seed: 250500
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8677 | 0.16 | 500 | 3.2829 |
| 3.0395 | 0.33 | 1000 | 2.8431 |
| 2.561 | 0.49 | 1500 | 2.5633 |
| 2.41 | 0.65 | 2000 | 2.3548 |
| 2.247 | 0.82 | 2500 | 2.2983 |
| 2.1538 | 0.98 | 3000 | 2.2059 |
| 1.7 | 1.14 | 3500 | 2.2006 |
| 1.5705 | 1.31 | 4000 | 2.2736 |
| 1.604 | 1.47 | 4500 | 2.1415 |
| 1.5509 | 1.63 | 5000 | 2.0853 |
| 1.5053 | 1.79 | 5500 | 2.1389 |
| 1.4787 | 1.96 | 6000 | 2.0870 |
Framework versions
- Transformers 4.12.2
- Pytorch 1.8.0+cu101
- Datasets 1.14.0
- Tokenizers 0.10.3
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