End of training

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: dof-receipts-1
+  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. -->
+
+# dof-receipts-1
+
+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.
+
+## 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: 3e-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: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.13.0
+- Datasets 2.6.1
+- Tokenizers 0.13.2

added_tokens.json

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+{
+  "</s_purchase_time>": 57538,
+  "</s_receipt_date>": 57536,
+  "</s_sub_total>": 57534,
+  "</s_supplier_address>": 57532,
+  "</s_supplier_name>": 57528,
+  "</s_tip_amount>": 57540,
+  "</s_total>": 57526,
+  "</s_total_tax_amount>": 57530,
+  "<s_iitcdip>": 57523,
+  "<s_purchase_time>": 57537,
+  "<s_receipt_date>": 57535,
+  "<s_sub_total>": 57533,
+  "<s_supplier_address>": 57531,
+  "<s_supplier_name>": 57527,
+  "<s_synthdog>": 57524,
+  "<s_tip_amount>": 57539,
+  "<s_total>": 57525,
+  "<s_total_tax_amount>": 57529,
+  "<sep/>": 57522
+}

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": [
+    960,
+    1280
+  ]
+}

pytorch_model.bin

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runs/Nov17_03-28-47_instance-gp-s/events.out.tfevents.1668655735.instance-gp-s.4502.0

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+size 22531

sentencepiece.bpe.model

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+size 1296245

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<s_total>",
+    "</s_total>",
+    "<s_supplier_name>",
+    "</s_supplier_name>",
+    "<s_total_tax_amount>",
+    "</s_total_tax_amount>",
+    "<s_supplier_address>",
+    "</s_supplier_address>",
+    "<s_sub_total>",
+    "</s_sub_total>",
+    "<s_receipt_date>",
+    "</s_receipt_date>",
+    "<s_purchase_time>",
+    "</s_purchase_time>",
+    "<s_tip_amount>",
+    "</s_tip_amount>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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