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vishnu027
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donut_marriage_sm_560-140_aug_002

Image-Text-to-Text
Transformers
TensorBoard
Safetensors
vision-encoder-decoder
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
vishnu027 commited on
Commit
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1 Parent(s): d08523f

End of training

Browse files
Files changed (8) hide show
  1. README.md +84 -0
  2. added_tokens.json +43 -0
  3. generation_config.json +8 -0
  4. preprocessor_config.json +26 -0
  5. sentencepiece.bpe.model +3 -0
  6. special_tokens_map.json +297 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +426 -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_marriage_sm_560-140_aug_002
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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_marriage_sm_560-140_aug_002
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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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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0472
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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: 25
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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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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.3237 | 1.0 | 280 | 0.2879 |
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+ | 0.3617 | 2.0 | 560 | 0.1548 |
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+ | 0.1783 | 3.0 | 840 | 0.1054 |
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+ | 0.0673 | 4.0 | 1120 | 0.0931 |
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+ | 0.0738 | 5.0 | 1400 | 0.0890 |
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+ | 0.0333 | 6.0 | 1680 | 0.0780 |
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+ | 0.018 | 7.0 | 1960 | 0.0740 |
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+ | 0.0606 | 8.0 | 2240 | 0.0681 |
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+ | 0.0148 | 9.0 | 2520 | 0.0637 |
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+ | 0.015 | 10.0 | 2800 | 0.0589 |
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+ | 0.0074 | 11.0 | 3080 | 0.0576 |
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+ | 0.0003 | 12.0 | 3360 | 0.0543 |
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+ | 0.0277 | 13.0 | 3640 | 0.0561 |
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+ | 0.0067 | 14.0 | 3920 | 0.0571 |
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+ | 0.0003 | 15.0 | 4200 | 0.0592 |
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+ | 0.0005 | 16.0 | 4480 | 0.0541 |
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+ | 0.0025 | 17.0 | 4760 | 0.0563 |
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+ | 0.0032 | 18.0 | 5040 | 0.0503 |
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+ | 0.0109 | 19.0 | 5320 | 0.0498 |
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+ | 0.0003 | 20.0 | 5600 | 0.0501 |
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+ | 0.0025 | 21.0 | 5880 | 0.0504 |
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+ | 0.0007 | 22.0 | 6160 | 0.0480 |
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+ | 0.0002 | 23.0 | 6440 | 0.0476 |
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+ | 0.0029 | 24.0 | 6720 | 0.0474 |
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+ | 0.0003 | 25.0 | 7000 | 0.0472 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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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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+ "</s_Marriage Day>": 57558,
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+ "<s_Marriage Year>": 57534,
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+ "<s_iitcdip>": 57523,
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+ "<s_synthdog>": 57524,
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+ "<sep/>": 57522
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+ }
generation_config.json ADDED
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+ "image_mean": [
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+ 0.5,
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+ "image_processor_type": "DonutImageProcessor",
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+ "image_std": [
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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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+ 1200,
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+ 800
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+ ]
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+ }
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The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
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