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rogelio-cm
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donut-base-sroie

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Safetensors
vision-encoder-decoder
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Files changed (9) hide show
  1. README.md +55 -0
  2. added_tokens.json +13 -0
  3. generation_config.json +8 -0
  4. preprocessor_config.json +26 -0
  5. runs/Aug06_00-52-56_a965f97a6fef/events.out.tfevents.1722905587.a965f97a6fef.2663.0 +2 -2
  6. sentencepiece.bpe.model +3 -0
  7. special_tokens_map.json +123 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +156 -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 4.44.0.dev0
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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