metadata
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-05-22_loss_subgraphs
results: []
EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-05-22_loss_subgraphs
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: 0.2391
- Accuracy: 0.9343
- Exit 0 Accuracy: 0.3283
- Exit 1 Accuracy: 0.4678
- Exit 2 Accuracy: 0.8356
- Exit 3 Accuracy: 0.9082
- Exit 4 Accuracy: 0.9331
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Exit 0 Accuracy | Exit 1 Accuracy | Exit 2 Accuracy | Exit 3 Accuracy | Exit 4 Accuracy |
|---|---|---|---|---|---|---|---|---|---|
| 0.4036 | 1.0 | 1250 | 0.3090 | 0.9140 | 0.2036 | 0.3108 | 0.7504 | 0.8722 | 0.9108 |
| 0.2783 | 2.0 | 2500 | 0.2730 | 0.9221 | 0.2715 | 0.3928 | 0.7959 | 0.8902 | 0.9227 |
| 0.2376 | 3.0 | 3750 | 0.2487 | 0.9284 | 0.2865 | 0.4313 | 0.8182 | 0.9000 | 0.9280 |
| 0.1984 | 4.0 | 5000 | 0.2446 | 0.9314 | 0.3150 | 0.4529 | 0.8282 | 0.9033 | 0.9301 |
| 0.1729 | 5.0 | 6250 | 0.2424 | 0.9327 | 0.3240 | 0.4636 | 0.8331 | 0.9076 | 0.9323 |
| 0.1524 | 6.0 | 7500 | 0.2391 | 0.9343 | 0.3283 | 0.4678 | 0.8356 | 0.9082 | 0.9331 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2