metadata
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned_invoices-3
results: []
layoutlmv3-finetuned_invoices-3
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: 0.7938
- Precision: 0.9316
- Recall: 0.8
- F1: 0.8258
- Accuracy: 0.9833
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 4 | 1.3357 | 0.1867 | 0.2 | 0.1931 | 0.9333 |
| No log | 2.0 | 8 | 1.0489 | 0.3898 | 0.4 | 0.3948 | 0.95 |
| 1.1732 | 3.0 | 12 | 0.8885 | 0.7281 | 0.6 | 0.6240 | 0.9667 |
| 1.1732 | 4.0 | 16 | 0.7938 | 0.9316 | 0.8 | 0.8258 | 0.9833 |
| 0.7498 | 5.0 | 20 | 0.7694 | 0.9316 | 0.8 | 0.8258 | 0.9833 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1