End of training
Browse files- README.md +52 -0
- added_tokens.json +31 -0
- generation_config.json +9 -0
- preprocessor_config.json +26 -0
- pytorch_model.bin +1 -1
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +32 -0
- tokenizer.json +0 -0
- tokenizer_config.json +271 -0
README.md
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---
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license: mit
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base_model: naver-clova-ix/donut-base-finetuned-rvlcdip
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tags:
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- generated_from_trainer
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model-index:
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- name: hand_vs_machine
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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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# hand_vs_machine
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This model is a fine-tuned version of [naver-clova-ix/donut-base-finetuned-rvlcdip](https://huggingface.co/naver-clova-ix/donut-base-finetuned-rvlcdip) on an unknown 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: 10
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### Training results
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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added_tokens.json
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{
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"</s>": 2,
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"</s_class>": 57523,
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"<advertisement/>": 57524,
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"<budget/>": 57525,
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"<email/>": 57526,
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"<file_folder/>": 57527,
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"<form/>": 57528,
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"<hand/>": 57544,
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"<handwritten/>": 57529,
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"<invoice/>": 57530,
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"<letter/>": 57531,
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"<machine/>": 57545,
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"<mask>": 57521,
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"<memo/>": 57532,
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"<news_article/>": 57533,
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"<pad>": 1,
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"<presentation/>": 57534,
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"<questionnaire/>": 57535,
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"<resume/>": 57536,
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"<s>": 0,
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"<s_class>": 57537,
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"<s_iitcdip>": 57538,
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"<s_rvlcdip>": 57539,
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"<s_synthdog>": 57540,
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"<scientific_publication/>": 57541,
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"<scientific_report/>": 57542,
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"<sep/>": 57522,
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"<specification/>": 57543,
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"<unk>": 3
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"max_length": 8,
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"pad_token_id": 1,
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"transformers_version": "4.35.0.dev0"
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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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960,
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1280
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]
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 803006233
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version https://git-lfs.github.com/spec/v1
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oid sha256:207109bd646bffd2457212cd65e1583000a9a4556c5df668dbabd7201d94cd35
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size 803006233
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb9e3dce4c326195d08fc3dd0f7e2eee1da8595c847bf4c1a9c78b7a82d47e2d
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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_class>",
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"<advertisement/>",
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"<budget/>",
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"<email/>",
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"<file_folder/>",
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"<form/>",
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"<handwritten/>",
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"<invoice/>",
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"<letter/>",
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"<memo/>",
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"<news_article/>",
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"<presentation/>",
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"<questionnaire/>",
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"<resume/>",
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"<s_class>",
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"<s_iitcdip>",
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"<s_rvlcdip>",
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"<s_synthdog>",
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"<scientific_publication/>",
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"<scientific_report/>",
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"<specification/>"
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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": "<mask>",
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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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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"57532": {
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"rstrip": true,
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}
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