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End of training

Browse files
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-gaurav-receipt-epoch-5
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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-gaurav-receipt-epoch-5
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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: 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 4.37.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "single_word": false,
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+ "<s_Prod_price_value>",
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+ "<s_Tel_value>",
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+ "<s_Tips_value>",
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+ "<s_Time_value>",
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+ "<s_Tax_value>",
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+ "<s_Subtotal_value>",
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+ "</s_Date_value>",
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+ "<s_Prod_quantity_value>"
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+ ],
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+ "clean_up_tokenization_spaces": true,
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+ "pad_token": "<pad>",
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+ "processor_class": "DonutProcessor",
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+ "sep_token": "</s>",
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+ "sp_model_kwargs": {},
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+ "tokenizer_class": "XLMRobertaTokenizer",
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+ "unk_token": "<unk>"
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+ }