EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-07-03_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:

• Loss: 2.6984
• Accuracy: 0.13
• Exit 0 Accuracy: 0.0675
• Exit 1 Accuracy: 0.0725
• Exit 2 Accuracy: 0.1125
• Exit 3 Accuracy: 0.0625
• Exit 4 Accuracy: 0.0625

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: 3
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 24
• total_train_batch_size: 72
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Exit 0 Accuracy	Exit 1 Accuracy	Exit 2 Accuracy	Exit 3 Accuracy	Exit 4 Accuracy
No log	0.99	11	2.7287	0.13	0.07	0.0725	0.115	0.0625	0.0625
No log	1.99	22	2.6984	0.13	0.0675	0.0725	0.1125	0.0625	0.0625

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1.post200
• Datasets 2.9.0
• Tokenizers 0.13.2