layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on the cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2176
- Precision: 0.9479
- Recall: 0.9528
- F1: 0.9504
- Accuracy: 0.9542
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: 1e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.56 | 250 | 1.0378 | 0.7404 | 0.7964 | 0.7674 | 0.8035 |
1.4104 | 3.12 | 500 | 0.5605 | 0.8291 | 0.8645 | 0.8465 | 0.8790 |
1.4104 | 4.69 | 750 | 0.3959 | 0.8728 | 0.8990 | 0.8857 | 0.9155 |
0.4054 | 6.25 | 1000 | 0.3111 | 0.9231 | 0.9349 | 0.9290 | 0.9393 |
0.4054 | 7.81 | 1250 | 0.2847 | 0.9135 | 0.9251 | 0.9193 | 0.9317 |
0.2124 | 9.38 | 1500 | 0.2457 | 0.9281 | 0.9379 | 0.9330 | 0.9410 |
0.2124 | 10.94 | 1750 | 0.2390 | 0.9371 | 0.9484 | 0.9427 | 0.9520 |
0.1438 | 12.5 | 2000 | 0.2196 | 0.9443 | 0.9513 | 0.9478 | 0.9546 |
0.1438 | 14.06 | 2250 | 0.2182 | 0.9478 | 0.9521 | 0.9500 | 0.9533 |
0.1093 | 15.62 | 2500 | 0.2176 | 0.9479 | 0.9528 | 0.9504 | 0.9542 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Evaluation results
- Precision on cord-layoutlmv3self-reported0.948
- Recall on cord-layoutlmv3self-reported0.953
- F1 on cord-layoutlmv3self-reported0.950
- Accuracy on cord-layoutlmv3self-reported0.954