<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
LayoutLM_1
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: 0.4204
- Precision: 0.6552
- Recall: 0.7480
- F1: 0.6985
- Accuracy: 0.9071
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 3.7 | 100 | 0.6185 | 0.0 | 0.0 | 0.0 | 0.8310 |
| No log | 7.41 | 200 | 0.4585 | 0.6146 | 0.4646 | 0.5291 | 0.8839 |
| No log | 11.11 | 300 | 0.4020 | 0.5870 | 0.6378 | 0.6113 | 0.8929 |
| No log | 14.81 | 400 | 0.3775 | 0.6496 | 0.7008 | 0.6742 | 0.9006 |
| 0.4776 | 18.52 | 500 | 0.3826 | 0.6268 | 0.7008 | 0.6617 | 0.9019 |
| 0.4776 | 22.22 | 600 | 0.3864 | 0.6224 | 0.7008 | 0.6593 | 0.8981 |
| 0.4776 | 25.93 | 700 | 0.4307 | 0.5759 | 0.7165 | 0.6386 | 0.8916 |
| 0.4776 | 29.63 | 800 | 0.4205 | 0.6738 | 0.7480 | 0.7090 | 0.9123 |
| 0.4776 | 33.33 | 900 | 0.4176 | 0.6552 | 0.7480 | 0.6985 | 0.9084 |
| 0.0536 | 37.04 | 1000 | 0.4204 | 0.6552 | 0.7480 | 0.6985 | 0.9071 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
