language-levels-LayoutLMv3-v4

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layoutlmv3-finetuned-language-levels-v4-8000

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

• eval_loss: 0.0001
• eval_precision: 1.0
• eval_recall: 1.0
• eval_f1: 1.0
• eval_accuracy: 1.0
• eval_runtime: 50.0465
• eval_samples_per_second: 15.346
• eval_steps_per_second: 7.673
• epoch: 2.0272
• step: 7000

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 7000

Framework versions

• Transformers 4.43.3
• Pytorch 2.1.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1