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vishnu027
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donut_sm_type1_04-12-23

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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End of training

Browse files
Files changed (9) hide show
  1. README.md +68 -0
  2. added_tokens.json +35 -0
  3. generation_config.json +8 -0
  4. model.safetensors +1 -1
  5. preprocessor_config.json +26 -0
  6. sentencepiece.bpe.model +3 -0
  7. special_tokens_map.json +241 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +354 -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_sm_type1_04-12-23
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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_sm_type1_04-12-23
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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: 0.1251
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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: 15
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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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+ | 0.5232 | 1.0 | 200 | 0.2651 |
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+ | 0.3372 | 2.0 | 400 | 0.1358 |
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+ | 0.0603 | 3.0 | 600 | 0.1150 |
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+ | 0.0727 | 4.0 | 800 | 0.1130 |
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+ | 0.0231 | 5.0 | 1000 | 0.1195 |
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+ | 0.0318 | 6.0 | 1200 | 0.1229 |
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+ | 0.0118 | 7.0 | 1400 | 0.1243 |
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+ | 0.0153 | 8.0 | 1600 | 0.1469 |
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+ | 0.0152 | 9.0 | 1800 | 0.1251 |
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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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+ "57543": {
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+ "<s_Bride Surname>",
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+ "</s_Groom Age>",
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+ "<s_Bride Given>",
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+ "</s_Groom Birthplace>",
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+ "<s_Groom Race>",
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+ "</s_Bride Race>",
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+ "<s_City>",
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+ "<s_Bride Residence>",
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+ "</s_Bride Surname>",
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+ "</s_Bride Marital Status>",
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+ "<s_Bride Birthplace>",
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+ "</s_City>",
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+ "</s_Groom Surname>",
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+ "<s_Bride Race>",
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+ "</s_Groom Given>",
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+ "<s_Bride Marital Status>"
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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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+ }