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End of training

Browse files
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+ checkpoint-*/
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+ ---
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+ license: mit
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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-for-Invoices
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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-for-Invoices
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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: 5e-05
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+ - train_batch_size: 1
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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: 5
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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 4.28.1
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+ - Pytorch 2.0.0
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+ - Datasets 2.11.0
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+ - Tokenizers 0.11.0
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+ {
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+ "</s_client>": 57562,
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+ "</s_client_tax_id>": 57560,
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+ "</s_header>": 57548,
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+ "</s_iban>": 57558,
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+ "</s_invoice_date>": 57556,
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+ "</s_invoice_no>": 57554,
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+ "</s_item_net_worth>": 57540,
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+ "</s_item_qty>": 57538,
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+ "</s_item_vat>": 57536,
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+ "</s_items>": 57534,
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+ "</s_seller>": 57552,
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+ "</s_seller_tax_id>": 57550,
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+ "</s_summary>": 57526,
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+ "</s_total_gross_worth>": 57532,
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+ "</s_total_net_worth>": 57530,
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+ "</s_total_vat>": 57528,
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+ "<s_client>": 57561,
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+ "<s_client_tax_id>": 57559,
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+ "<s_header>": 57547,
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+ "<s_iban>": 57557,
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+ "<s_iitcdip>": 57523,
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+ "<s_invoice_date>": 57555,
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+ "<s_invoice_no>": 57553,
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+ "<s_item_desc>": 57545,
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+ "<s_item_gross_worth>": 57543,
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+ "<s_item_net_price>": 57541,
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+ "<s_item_net_worth>": 57539,
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+ "<s_item_qty>": 57537,
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+ "<s_item_vat>": 57535,
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+ "<s_seller>": 57551,
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+ "<s_seller_tax_id>": 57549,
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+ "<s_summary>": 57525,
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+ "<s_synthdog>": 57524,
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+ "<s_total_gross_worth>": 57531,
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+ "<s_total_net_worth>": 57529,
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+ "<s_total_vat>": 57527,
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+ "<sep/>": 57522
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+ }
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