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: test
results: []
test
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0203
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
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 | 2.5 | 100 | 0.5488 | 0.9140 | 0.8379 | 0.8743 | 0.9448 |
| No log | 5.0 | 200 | 0.1142 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 7.5 | 300 | 0.0433 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 10.0 | 400 | 0.0274 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.4317 | 12.5 | 500 | 0.0203 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.4317 | 15.0 | 600 | 0.0165 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.4317 | 17.5 | 700 | 0.0143 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.4317 | 20.0 | 800 | 0.0129 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.4317 | 22.5 | 900 | 0.0121 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0248 | 25.0 | 1000 | 0.0119 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1