End of training

README.md

@@ -0,0 +1,54 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: donut-base-Medical_Blocks
+  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. -->
+
+# donut-base-Medical_Blocks
+
+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: 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: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.24.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.1
+- Tokenizers 0.13.1

added_tokens.json

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+  "</s_BP>": 57554,
+  "</s_Block1>": 57550,
+  "</s_Block2>": 57548,
+  "</s_Block3>": 57540,
+  "</s_Block4>": 57558,
+  "</s_Date>": 57538,
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+  "</s_Gender>": 57534,
+  "</s_History>": 57532,
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+  "</s_Medicine Name>": 57546,
+  "</s_Medicine Power>": 57560,
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+  "</s_Medicne Name>": 57564,
+  "</s_Name>": 57530,
+  "</s_Temp>": 57528,
+  "</s_Weight>": 57526,
+  "<s_Age>": 57555,
+  "<s_BP>": 57553,
+  "<s_Block1>": 57549,
+  "<s_Block2>": 57547,
+  "<s_Block3>": 57539,
+  "<s_Block4>": 57557,
+  "<s_Date>": 57537,
+  "<s_Diagnosis>": 57535,
+  "<s_Gender>": 57533,
+  "<s_History>": 57531,
+  "<s_Medicine Dose>": 57561,
+  "<s_Medicine Name>": 57545,
+  "<s_Medicine Power>": 57559,
+  "<s_Medicine Type>": 57551,
+  "<s_Medicine dose>": 57543,
+  "<s_Medicine type>": 57541,
+  "<s_Medicne Name>": 57563,
+  "<s_Name>": 57529,
+  "<s_Temp>": 57527,
+  "<s_Weight>": 57525,
+  "<s_iitcdip>": 57523,
+  "<s_synthdog>": 57524,
+  "<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": [
+    720,
+    960
+  ]
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<s_Weight>",
+    "</s_Weight>",
+    "<s_Temp>",
+    "</s_Temp>",
+    "<s_Name>",
+    "</s_Name>",
+    "<s_History>",
+    "</s_History>",
+    "<s_Gender>",
+    "</s_Gender>",
+    "<s_Diagnosis>",
+    "</s_Diagnosis>",
+    "<s_Date>",
+    "</s_Date>",
+    "<s_Block3>",
+    "</s_Block3>",
+    "<s_Medicine type>",
+    "</s_Medicine type>",
+    "<s_Medicine dose>",
+    "</s_Medicine dose>",
+    "<s_Medicine Name>",
+    "</s_Medicine Name>",
+    "<s_Block2>",
+    "</s_Block2>",
+    "<s_Block1>",
+    "</s_Block1>",
+    "<s_Medicine Type>",
+    "</s_Medicine Type>",
+    "<s_BP>",
+    "</s_BP>",
+    "<s_Age>",
+    "</s_Age>",
+    "<s_Block4>",
+    "</s_Block4>",
+    "<s_Medicine Power>",
+    "</s_Medicine Power>",
+    "<s_Medicine Dose>",
+    "</s_Medicine Dose>",
+    "<s_Medicne Name>",
+    "</s_Medicne Name>",
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+}

tokenizer_config.json

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+  "eos_token": "</s>",
+  "mask_token": {
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+    "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>"
+}