layoutlmv3-finetuned_0.1.2

This model is a fine-tuned version of hmart824/layoutlmv3-finetuned_0.1.1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2144

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: 2e-05
• 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
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	24	0.3299
No log	2.0	48	0.2039
No log	3.0	72	0.2144

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1