metadata
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: model-2024-06-04
results: []
model-2024-06-04
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4164
- Precision: 0.6190
- Recall: 0.8387
- F1: 0.7123
- Accuracy: 0.7907
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 | 25.0 | 100 | 1.1670 | 0.5152 | 0.5484 | 0.5312 | 0.7442 |
| No log | 50.0 | 200 | 1.0020 | 0.5676 | 0.6774 | 0.6176 | 0.7791 |
| No log | 75.0 | 300 | 1.2200 | 0.6111 | 0.7097 | 0.6567 | 0.7791 |
| No log | 100.0 | 400 | 1.2976 | 0.6 | 0.7742 | 0.6761 | 0.7791 |
| 0.4049 | 125.0 | 500 | 1.3549 | 0.6098 | 0.8065 | 0.6944 | 0.7791 |
| 0.4049 | 150.0 | 600 | 1.2864 | 0.625 | 0.8065 | 0.7042 | 0.7907 |
| 0.4049 | 175.0 | 700 | 1.2832 | 0.6486 | 0.7742 | 0.7059 | 0.8023 |
| 0.4049 | 200.0 | 800 | 1.3822 | 0.625 | 0.8065 | 0.7042 | 0.7907 |
| 0.4049 | 225.0 | 900 | 1.3862 | 0.6098 | 0.8065 | 0.6944 | 0.7907 |
| 0.021 | 250.0 | 1000 | 1.4164 | 0.6190 | 0.8387 | 0.7123 | 0.7907 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.13.3