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EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-08-13_text_visual_concat_only_gate

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: 1.5944
• Accuracy: 0.7575
• Exit 0 Accuracy: 0.075
• Exit 1 Accuracy: 0.0625
• Exit 2 Accuracy: 0.0625
• Exit 3 Accuracy: 0.065
• Exit 4 Accuracy: 0.37
• Exit 5 Accuracy: 0.6975
• Exit 6 Accuracy: 0.7025
• Exit 7 Accuracy: 0.72
• Exit 8 Accuracy: 0.74
• Exit 9 Accuracy: 0.755
• Exit 10 Accuracy: 0.7525
• Exit 11 Accuracy: 0.76
• Exit 12 Accuracy: 0.7575

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: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 24
• total_train_batch_size: 48
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 60

Training results

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3