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layoutlmv3-final-v6-BI-FINAL
This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4010
- Precision: 0.944
- Recall: 0.9402
- F1: 0.9421
- Accuracy: 0.8895
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 2.56 | 100 | 2.1657 | 0.5961 | 0.5232 | 0.5573 | 0.5357 |
| No log | 5.13 | 200 | 1.0442 | 0.8437 | 0.8353 | 0.8395 | 0.7492 |
| No log | 7.69 | 300 | 0.6743 | 0.9039 | 0.8997 | 0.9018 | 0.8339 |
| No log | 10.26 | 400 | 0.5301 | 0.9219 | 0.9177 | 0.9198 | 0.8553 |
| 1.3127 | 12.82 | 500 | 0.4766 | 0.9340 | 0.9296 | 0.9318 | 0.8673 |
| 1.3127 | 15.38 | 600 | 0.4388 | 0.9414 | 0.9382 | 0.9398 | 0.8762 |
| 1.3127 | 17.95 | 700 | 0.4329 | 0.9311 | 0.9250 | 0.9280 | 0.8705 |
| 1.3127 | 20.51 | 800 | 0.4109 | 0.9385 | 0.9323 | 0.9354 | 0.8850 |
| 1.3127 | 23.08 | 900 | 0.4024 | 0.9434 | 0.9402 | 0.9418 | 0.8901 |
| 0.3056 | 25.64 | 1000 | 0.4010 | 0.944 | 0.9402 | 0.9421 | 0.8895 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.8.0+cu101
- Datasets 2.12.0
- Tokenizers 0.13.3
