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-ap5_1
results: []
layoutlmv3-ap5_1
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: 0.0205
- Precision: 0.9333
- Recall: 0.7778
- F1: 0.8485
- Accuracy: 0.9948
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2988 | 11.9048 | 250 | 0.0205 | 0.9333 | 0.7778 | 0.8485 | 0.9948 |
| 0.0029 | 23.8095 | 500 | 0.0275 | 0.8929 | 0.6944 | 0.7812 | 0.9931 |
| 0.0009 | 35.7143 | 750 | 0.0270 | 0.9 | 0.75 | 0.8182 | 0.9948 |
| 0.0007 | 47.6190 | 1000 | 0.0347 | 0.8621 | 0.6944 | 0.7692 | 0.9931 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0