metadata

license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
  - generated_from_trainer
model-index:
  - name: layoutlmv3-finetuned-language-levels-v4-8000
    results: []

layoutlmv3-finetuned-language-levels-v4-8000

This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0001
eval_precision: 1.0
eval_recall: 1.0
eval_f1: 1.0
eval_accuracy: 1.0
eval_runtime: 50.0465
eval_samples_per_second: 15.346
eval_steps_per_second: 7.673
epoch: 2.0272
step: 7000

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: 7000

Framework versions

Transformers 4.43.3
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1