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sreejith8100
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donut-base3-sroie

Transformers
PyTorch
vision-encoder-decoder
Generated from Trainer
Inference Endpoints
Model card Files Community
sreejith8100 commited on
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End of training

Browse files
Files changed (7) hide show
  1. README.md +8 -17
  2. generation_config.json +2 -0
  3. preprocessor_config.json +4 -4
  4. pytorch_model.bin +1 -1
  5. special_tokens_map.json +98 -398
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +7 -0
README.md CHANGED
@@ -1,6 +1,4 @@
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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:
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # donut-base3-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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8932
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  ## Model description
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@@ -42,24 +40,17 @@ The following hyperparameters were used during training:
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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: 12
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 6.4525 | 1.0 | 49 | 5.8289 |
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- | 3.7395 | 2.0 | 98 | 3.4073 |
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- | 3.093 | 3.0 | 147 | 2.8774 |
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- | 3.5816 | 4.0 | 196 | 2.5408 |
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- | 2.2642 | 5.0 | 245 | 2.3801 |
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- | 2.0238 | 6.0 | 294 | 2.1951 |
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- | 1.7201 | 7.0 | 343 | 2.1006 |
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- | 1.5596 | 8.0 | 392 | 2.0265 |
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- | 2.0967 | 9.0 | 441 | 1.9439 |
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- | 1.9109 | 10.0 | 490 | 1.9280 |
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- | 1.5129 | 11.0 | 539 | 1.9024 |
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- | 1.5883 | 12.0 | 588 | 1.8932 |
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  ### Framework versions
 
1
  ---
 
 
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  # donut-base3-sroie
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+ This model was trained from scratch on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8022
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  ## Model description
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.2121 | 1.0 | 49 | 1.8428 |
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+ | 0.9559 | 2.0 | 98 | 1.8141 |
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+ | 1.1816 | 3.0 | 147 | 1.7794 |
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+ | 1.7836 | 4.0 | 196 | 1.7935 |
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+ | 0.9037 | 5.0 | 245 | 1.8022 |
 
 
 
 
 
 
 
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  ### Framework versions
generation_config.json CHANGED
@@ -1,8 +1,10 @@
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  {
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  "_from_model_config": true,
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  "transformers_version": "4.34.1"
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preprocessor_config.json CHANGED
@@ -19,8 +19,8 @@
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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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- 500,
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- 900
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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": 900,
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  }
 
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+ },
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+ "sep_token": {
96
+ "content": "</s>",
97
+ "lstrip": false,
98
+ "normalized": false,
99
+ "rstrip": false,
100
+ "single_word": false
101
+ },
102
+ "unk_token": {
103
+ "content": "<unk>",
104
+ "lstrip": false,
105
+ "normalized": false,
106
+ "rstrip": false,
107
+ "single_word": false
108
+ }
109
  }
tokenizer.json CHANGED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json CHANGED
@@ -560,11 +560,18 @@
560
  "cls_token": "<s>",
561
  "eos_token": "</s>",
562
  "mask_token": "<mask>",
 
563
  "model_max_length": 1000000000000000019884624838656,
 
564
  "pad_token": "<pad>",
 
 
565
  "processor_class": "DonutProcessor",
566
  "sep_token": "</s>",
567
  "sp_model_kwargs": {},
 
568
  "tokenizer_class": "XLMRobertaTokenizer",
 
 
569
  "unk_token": "<unk>"
570
  }
 
560
  "cls_token": "<s>",
561
  "eos_token": "</s>",
562
  "mask_token": "<mask>",
563
+ "max_length": 512,
564
  "model_max_length": 1000000000000000019884624838656,
565
+ "pad_to_multiple_of": null,
566
  "pad_token": "<pad>",
567
+ "pad_token_type_id": 0,
568
+ "padding_side": "right",
569
  "processor_class": "DonutProcessor",
570
  "sep_token": "</s>",
571
  "sp_model_kwargs": {},
572
+ "stride": 0,
573
  "tokenizer_class": "XLMRobertaTokenizer",
574
+ "truncation_side": "right",
575
+ "truncation_strategy": "longest_first",
576
  "unk_token": "<unk>"
577
  }