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donut-base-ner_t4

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Safetensors
vision-encoder-decoder
Generated from Trainer
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End of training

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Files changed (8) hide show
  1. README.md +55 -0
  2. added_tokens.json +31 -0
  3. generation_config.json +8 -0
  4. preprocessor_config.json +26 -0
  5. sentencepiece.bpe.model +3 -0
  6. special_tokens_map.json +213 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +318 -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-ner_t4
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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-ner_t4
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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: 10
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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 4.36.0.dev0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "lstrip": false,
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+ "special": true
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+ }
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+ },
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+ "additional_special_tokens": [
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+ "</s_gross_weight>",
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+ "</s_purchase_order>",
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+ "</s_item_index>",
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+ "</s_part_number>",
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+ "</s_total_item_value>",
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+ "</s_item_quantity>",
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+ "<s_part_number>",
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+ "<s_hs_code>",
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+ "</s_origin_country>",
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+ "<s_item_value>",
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+ "</s_hs_code>",
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+ "<s_net_weight>",
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+ "<s>",
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+ "<s_item_quantity>",
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+ "</s_description>",
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+ "<s_origin_country>",
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+ "<s_gross_weight>",
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+ "</s_net_weight>",
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+ "<s_uom>",
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+ "</s_item_value>",
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+ "</s_uom>",
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+ "<s_purchase_order>",
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+ "<s_description>",
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+ "<s_serial_number>",
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+ "</s>",
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+ "<s_total_item_value>",
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+ "</s_serial_number>",
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+ "<s_item_index>"
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+ ],
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "<s>",
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+ "eos_token": "</s>",
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+ "mask_token": "<mask>",
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+ "model_max_length": 1000000000000000019884624838656,
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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",
317
+ "unk_token": "<unk>"
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+ }