metadata
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
datasets:
- block2ds
model-index:
- name: layoutlmv2-base-uncased_finetuned_docvqa
results: []
layoutlmv2-base-uncased_finetuned_docvqa
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the block2ds dataset. It achieves the following results on the evaluation set:
- Loss: 1.9118
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2361 | 2.17 | 50 | 3.6262 |
| 3.5312 | 4.35 | 100 | 3.2548 |
| 3.1763 | 6.52 | 150 | 2.9094 |
| 2.857 | 8.7 | 200 | 2.6181 |
| 2.5854 | 10.87 | 250 | 2.3748 |
| 2.365 | 13.04 | 300 | 2.1822 |
| 2.1976 | 15.22 | 350 | 2.0389 |
| 2.0745 | 17.39 | 400 | 1.9492 |
| 2.0104 | 19.57 | 450 | 1.9118 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1