metadata
library_name: transformers
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-7
results: []
layoutlmv3-finetuned_invoices-7
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: 1.0771
- Precision: 0.7917
- Recall: 0.75
- F1: 0.7417
- Accuracy: 0.7143
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: 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 | 1.2846 | 0.1667 | 0.375 | 0.225 | 0.2857 |
| No log | 2.0 | 8 | 1.1697 | 0.5 | 0.5 | 0.4583 | 0.4286 |
| 1.2001 | 3.0 | 12 | 1.0771 | 0.7917 | 0.75 | 0.7417 | 0.7143 |
| 1.2001 | 4.0 | 16 | 1.0259 | 0.5417 | 0.625 | 0.5333 | 0.5714 |
| 0.8765 | 5.0 | 20 | 1.0074 | 0.5 | 0.625 | 0.4917 | 0.5714 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1