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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/layoutlmv2-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: layoutlmv2-base-uncased_finetuned_docvqa
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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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# layoutlmv2-base-uncased_finetuned_docvqa
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This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.6021
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- eval_runtime: 28.2281
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- eval_samples_per_second: 6.731
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- eval_steps_per_second: 0.85
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- epoch: 2.2124
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- step: 250
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Nov03_11-09-57_a6856851b857/events.out.tfevents.1730632208.a6856851b857.2669.2
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