layoutlmv2_Kb_qa04
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: 4.1587
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9629 | 0.57 | 50 | 3.1486 |
| 2.5694 | 1.14 | 100 | 4.1441 |
| 2.331 | 1.7 | 150 | 3.4756 |
| 1.8442 | 2.27 | 200 | 4.1663 |
| 1.7225 | 2.84 | 250 | 4.1981 |
| 1.5666 | 3.41 | 300 | 4.2186 |
| 1.4984 | 3.98 | 350 | 4.1587 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.12.1