jordyvl/EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-07-03_test

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EElayoutlmv3jordyvlrvlcdip100examplesperclass2023-07-03_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
• —trainbatchsize: 3
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 24
• —totaltrainbatch_size: 72
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

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