<!-- 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. -->
layoutlmv3-finetuned-cord_vimal
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: 1.8321
- Precision: 0.7179
- Recall: 0.7368
- F1: 0.7273
- Accuracy: 0.7333
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 | 125.0 | 250 | 1.2027 | 0.7564 | 0.7763 | 0.7662 | 0.7481 |
| 0.8449 | 250.0 | 500 | 1.3990 | 0.7089 | 0.7368 | 0.7226 | 0.7333 |
| 0.8449 | 375.0 | 750 | 1.5343 | 0.7179 | 0.7368 | 0.7273 | 0.7333 |
| 0.0296 | 500.0 | 1000 | 1.6144 | 0.75 | 0.75 | 0.75 | 0.7407 |
| 0.0296 | 625.0 | 1250 | 1.6898 | 0.7179 | 0.7368 | 0.7273 | 0.7333 |
| 0.0134 | 750.0 | 1500 | 1.7402 | 0.7179 | 0.7368 | 0.7273 | 0.7333 |
| 0.0134 | 875.0 | 1750 | 1.7888 | 0.7179 | 0.7368 | 0.7273 | 0.7333 |
| 0.0089 | 1000.0 | 2000 | 1.8041 | 0.7179 | 0.7368 | 0.7273 | 0.7333 |
| 0.0089 | 1125.0 | 2250 | 1.8209 | 0.7179 | 0.7368 | 0.7273 | 0.7333 |
| 0.0073 | 1250.0 | 2500 | 1.8321 | 0.7179 | 0.7368 | 0.7273 | 0.7333 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
