End of training

README.md

@@ -0,0 +1,47 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: scandoc1
+  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. -->
+
+# scandoc1
+
+This model is a fine-tuned version of [naver-clova-ix/donut-base-finetuned-cord-v2](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v2) on an unknown 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: 0.0002
+- train_batch_size: 6
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.0
+- Tokenizers 0.13.3

added_tokens.json

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+  "</s_changeprice>": 57551,
+  "</s_cnt>": 57529,
+  "</s_creditcardprice>": 57563,
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+  "</s_tax_price>": 57539,
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+  "</s_total_price>": 57545,
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+  "</s_vatyn>": 57575,
+  "</s_void_menu>": 57571,
+  "<s_cashprice>": 57550,
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+  "<s_cnt>": 57530,
+  "<s_cord-v2>": 57579,
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+  "<s_total>": 57544,
+  "<s_total_etc>": 57562,
+  "<s_total_price>": 57546,
+  "<s_unitprice>": 57560,
+  "<s_vatyn>": 57576,
+  "<s_void_menu>": 57572,
+  "<sep/>": 57522
+}

config.json

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       "LABEL_1": 1
     },
     "length_penalty": 1.0,
-    "max_length": 512,
+    "max_length": 20,
     "max_position_embeddings": 768,
     "min_length": 0,
     "model_type": "mbart",
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     "use_cache": true,
     "vocab_size": 57580
   },
-  "decoder_start_token_id": 0,
   "encoder": {
     "_name_or_path": "",
     "add_cross_attention": false,
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       "1": "LABEL_1"
     },
     "image_size": [
-      960,
-      720
+      1280,
+      960
     ],
     "initializer_range": 0.02,
     "is_decoder": false,
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   },
   "is_encoder_decoder": true,
   "model_type": "vision-encoder-decoder",
-  "pad_token_id": 1,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
   "transformers_version": null

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.30.1"
+}

preprocessor_config.json

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+{
+  "do_align_long_axis": false,
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "do_thumbnail": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "DonutImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "processor_class": "DonutProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 960,
+    "width": 720
+  }
+}

pytorch_model.bin

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special_tokens_map.json

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+    "</s>"
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+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
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+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "processor_class": "DonutProcessor",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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