metadata
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
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:
- eval_loss: 0.9442
- eval_precision: 0.8653
- eval_recall: 0.7740
- eval_f1: 0.8171
- eval_accuracy: 0.9284
- eval_runtime: 77.5017
- eval_samples_per_second: 18.064
- eval_steps_per_second: 4.516
- epoch: 1.7707
- step: 3807
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: 5e-06
- 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
- training_steps: 25000
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1