layoutlmv3 finetuned funsd This model is a fine tuned version of microsoft/layoutlmv3 base on the nielsr/funsd layoutlmv3 dataset. It achieves the following results on the evaluation set: Loss: 1.1164 Precision: 0.9026 Recall: 0.913 F1: 0.9078 Accuracy: 0.8330 The script for training can be found here: https://github.com/huggingface/transformers/tree/main/examples/research projects/layoutlmv3 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 train batch size: 16 eval batch size: 16 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear training steps: 1000 Training results Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy : : : : : : : : : : : : : : : : No log 10.0 100 0.5238 0.8366 0.886 0.8606 0.8410 No log 20.0 200 0.6930 0.8751 0.8965 0.8857 0.8322 No log 30.0 300 0.7784 0.8902 0.908 0.8990 0.8414 No log 40.0 400 0.9056 0.8916 0.905 0.8983 0.8364 0.2429 50.0 500 1.0016 0.8954 0.9075 0.9014 0.8298 0.2429 60.…
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