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-ap7_1_ip
results: []
layoutlmv3-ap7_1_ip
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: 0.0246
- Precision: 0.7719
- Recall: 0.8302
- F1: 0.8
- Accuracy: 0.9961
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| 0.5176 | 14.7059 | 250 | 0.0664 | 0.45 | 0.1698 | 0.2466 | 0.9881 |
| 0.0288 | 29.4118 | 500 | 0.0354 | 0.6538 | 0.6415 | 0.6476 | 0.9930 |
| 0.0143 | 44.1176 | 750 | 0.0269 | 0.7333 | 0.8302 | 0.7788 | 0.9956 |
| 0.0098 | 58.8235 | 1000 | 0.0246 | 0.7719 | 0.8302 | 0.8 | 0.9961 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1