EElayoutlmv3_rvl-cdip_single_10_2023-04-14

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: 16.6313
• Accuracy: {'accuracy': 0.1}
• Exit 0 Accuracy: 0.1062
• Exit 1 Accuracy: 0.0625
• Exit 2 Accuracy: 0.0813
• 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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

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	1.0	160	16.6313	{'accuracy': 0.1}	0.1062	0.0625	0.0813	0.0625	0.0625

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.9.0
• Tokenizers 0.12.1