layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on the cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0986
- eval_precision: 0.6521
- eval_recall: 0.7365
- eval_f1: 0.6917
- eval_accuracy: 0.7593
- eval_runtime: 182.1992
- eval_samples_per_second: 0.549
- eval_steps_per_second: 0.11
- epoch: 1.56
- step: 250
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.2
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Model tree for madhuprakash19/layoutlmv3-finetuned-cord_100
Base model
microsoft/layoutlmv3-base