End of training
Browse files- README.md +52 -0
- added_tokens.json +13 -0
- preprocessor_config.json +26 -0
- pytorch_model.bin +1 -1
- runs/Jan05_02-47-02_8987770d7e99/events.out.tfevents.1672886836.8987770d7e99.280.0 +2 -2
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +27 -0
- tokenizer.json +0 -0
- tokenizer_config.json +22 -0
README.md
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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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model-index:
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- name: donut-base-sroie
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results: []
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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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# donut-base-sroie
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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 None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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added_tokens.json
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{
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"</s_address>": 57532,
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"</s_company>": 57530,
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"</s_date>": 57528,
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"</s_total>": 57526,
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"<s_address>": 57531,
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"<s_company>": 57529,
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"<s_date>": 57527,
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"<s_iitcdip>": 57523,
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"<s_synthdog>": 57524,
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"<s_total>": 57525,
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"<sep/>": 57522
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}
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preprocessor_config.json
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{
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"do_align_long_axis": false,
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"do_normalize": true,
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"do_pad": true,
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"do_rescale": true,
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"do_resize": true,
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"do_thumbnail": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "DonutImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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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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"height": 1280,
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"width": 960
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}
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}
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pytorch_model.bin
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size 809211673
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size 809211673
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runs/Jan05_02-47-02_8987770d7e99/events.out.tfevents.1672886836.8987770d7e99.280.0
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size
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size 9842
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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size 1296245
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<s_total>",
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"</s_total>",
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"<s_date>",
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"</s_date>",
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"<s_company>",
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"</s_company>",
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"<s_address>",
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"</s_address>",
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"<s>",
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"</s>"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"__type": "AddedToken",
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "ivelin/sroie_donut_processor",
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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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"special_tokens_map_file": null,
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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