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End of training

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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-sus
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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-sus
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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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+
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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 4.39.2
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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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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+ "image_mean": [
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_processor_type": "DonutImageProcessor",
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+ "image_std": [
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+ 0.5,
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+ 0.5
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+ ],
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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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+ 720,
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+ 960
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+ ]
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+ }
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