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README.md
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---
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library_name: transformers
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license: cc-by-nc-sa-4.0
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base_model: microsoft/layoutlmv3-base
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tags:
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- generated_from_trainer
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model-index:
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- name: Layoutlmv3InvoiceCzechNewDataset
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Layoutlmv3InvoiceCzechNewDataset
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0205
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- eval_precision: 0.9556
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- eval_recall: 0.9641
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- eval_f1: 0.9598
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- eval_accuracy: 0.9958
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- eval_runtime: 19.1082
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- eval_samples_per_second: 9.158
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- eval_steps_per_second: 4.605
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- epoch: 9.0
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- step: 1575
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 0.1
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.9.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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model.safetensors
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runs/Feb03_00-46-42_564d004950d2/events.out.tfevents.1770079602.564d004950d2.14946.0
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