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donut-base-sroie

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vision-encoder-decoder
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Files changed (8) hide show
  1. README.md +55 -0
  2. added_tokens.json +13 -0
  3. generation_config.json +8 -0
  4. preprocessor_config.json +44 -0
  5. sentencepiece.bpe.model +3 -0
  6. special_tokens_map.json +63 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +163 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: naver-clova-ix/donut-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - imagefolder
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+ model-index:
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+ - name: donut-base-sroie
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+ results: []
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+ ---
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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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+
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+ # donut-base-sroie
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+
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+ This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 2
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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: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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+ {
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+ "_from_model_config": true,
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+ "transformers_version": "4.41.2"
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+ }
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+ {
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+ "_valid_processor_keys": [
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+ "images",
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+ "do_resize",
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+ "size",
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+ "resample",
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+ "do_thumbnail",
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+ "do_align_long_axis",
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+ "do_pad",
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+ "random_padding",
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+ "do_rescale",
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+ "rescale_factor",
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+ "do_normalize",
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+ "image_mean",
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+ "image_std",
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+ "return_tensors",
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+ ],
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+ "image_processor_type": "DonutImageProcessor",
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+ "processor_class": "DonutProcessor",
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+ "resample": 2,
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+ "rescale_factor": 0.00392156862745098,
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+ "size": {
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+ "width": 720
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+ }
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+ }
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