End of training

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: ananth-docai4
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ananth-docai4
+
+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.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.22.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.7.1
+- Tokenizers 0.12.1

added_tokens.json

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+  "</s_Balance Due Amount>": 57540,
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+  "<s_iitcdip>": 57523,
+  "<s_synthdog>": 57524,
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+}

preprocessor_config.json

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+{
+  "do_align_long_axis": false,
+  "do_normalize": true,
+  "do_pad": true,
+  "do_resize": true,
+  "do_thumbnail": true,
+  "feature_extractor_type": "DonutFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "processor_class": "DonutProcessor",
+  "resample": 2,
+  "size": [
+    720,
+    960
+  ]
+}

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special_tokens_map.json

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+    "<s_Invoice Total Amount>",
+    "</s_Invoice Total Amount>",
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+    "<s_Total Received/Down Payment>",
+    "</s_Total Received/Down Payment>",
+    "<s_Balance Due Amount>",
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+    "<s_Depreciation Amount>",
+    "</s_Depreciation Amount>",
+    "<s_Deductible Amount>",
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+    "<s_Actual Cash Value Amount>",
+    "</s_Actual Cash Value Amount>",
+    "<s_Job Completed Date>",
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+    "<s>",
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+  ],
+  "bos_token": "<s>",
+  "cls_token": "<s>",
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+  "mask_token": {
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+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
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+    "lstrip": true,
+    "normalized": true,
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+    "single_word": false
+  },
+  "name_or_path": "naver-clova-ix/donut-base",
+  "pad_token": "<pad>",
+  "processor_class": "DonutProcessor",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
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+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}