ikiransuryavanshi/layoutlmv3-ap7_5_stitched_8_batch

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layoutlmv3-ap75stitched8batch

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

• —Loss: 0.0223
• —Precision: 0.5714
• —Recall: 0.625
• —F1: 0.5970
• —Accuracy: 0.9962

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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 1000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.4.1
• —Tokenizers 0.21.1