End of training

README.md

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+---
+license: mit
+base_model: naver-clova-ix/donut-base
+tags:
+- generated_from_trainer
+model-index:
+- name: donut-receipt_v2
+  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-receipt_v2
+
+This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1
+- Datasets 2.14.4
+- Tokenizers 0.13.3

added_tokens.json

@@ -0,0 +1,41 @@
+{
+  "</s_date>": 57558,
+  "</s_ignore>": 57556,
+  "</s_item_key>": 57554,
+  "</s_item_name>": 57552,
+  "</s_item_quantity>": 57550,
+  "</s_item_value>": 57548,
+  "</s_line_items>": 57546,
+  "</s_others>": 57542,
+  "</s_receipt>": 57560,
+  "</s_store_addr>": 57540,
+  "</s_store_name>": 57538,
+  "</s_subtotal>": 57536,
+  "</s_tax>": 57534,
+  "</s_telephone>": 57532,
+  "</s_text>": 57544,
+  "</s_time>": 57530,
+  "</s_tips>": 57528,
+  "</s_total>": 57526,
+  "<s_date>": 57557,
+  "<s_ignore>": 57555,
+  "<s_iitcdip>": 57523,
+  "<s_item_key>": 57553,
+  "<s_item_name>": 57551,
+  "<s_item_quantity>": 57549,
+  "<s_item_value>": 57547,
+  "<s_line_items>": 57545,
+  "<s_others>": 57541,
+  "<s_receipt>": 57559,
+  "<s_store_addr>": 57539,
+  "<s_store_name>": 57537,
+  "<s_subtotal>": 57535,
+  "<s_synthdog>": 57524,
+  "<s_tax>": 57533,
+  "<s_telephone>": 57531,
+  "<s_text>": 57543,
+  "<s_time>": 57529,
+  "<s_tips>": 57527,
+  "<s_total>": 57525,
+  "<sep/>": 57522
+}

config.json

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+{
+  "_name_or_path": "naver-clova-ix/donut-base",
+  "architectures": [
+    "VisionEncoderDecoderModel"
+  ],
+  "decoder": {
+    "_name_or_path": "",
+    "activation_dropout": 0.0,
+    "activation_function": "gelu",
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+    "add_final_layer_norm": true,
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+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
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+    "classifier_dropout": 0.0,
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+    "d_model": 1024,
+    "decoder_attention_heads": 16,
+    "decoder_ffn_dim": 4096,
+    "decoder_layerdrop": 0.0,
+    "decoder_layers": 4,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout": 0.1,
+    "early_stopping": false,
+    "encoder_attention_heads": 16,
+    "encoder_ffn_dim": 4096,
+    "encoder_layerdrop": 0.0,
+    "encoder_layers": 12,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 2,
+    "exponential_decay_length_penalty": null,
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+    "forced_eos_token_id": 2,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "init_std": 0.02,
+    "is_decoder": true,
+    "is_encoder_decoder": false,
+    "label2id": {
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+      "LABEL_1": 1
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+    "model_type": "mbart",
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+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
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+    "tie_word_embeddings": true,
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+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 57561
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+    "bad_words_ids": null,
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+    "depths": [
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "drop_path_rate": 0.1,
+    "early_stopping": false,
+    "embed_dim": 128,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 1024,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "image_size": [
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+    "is_decoder": false,
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+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "mlp_ratio": 4.0,
+    "model_type": "donut-swin",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_channels": 3,
+    "num_heads": [
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+    "output_attentions": false,
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+    "path_norm": true,
+    "prefix": null,
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+    "qkv_bias": true,
+    "remove_invalid_values": false,
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+    "return_dict": true,
+    "return_dict_in_generate": false,
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+    "temperature": 1.0,
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+    "typical_p": 1.0,
+    "use_absolute_embeddings": false,
+    "use_bfloat16": false,
+    "window_size": 10
+  },
+  "is_encoder_decoder": true,
+  "model_type": "vision-encoder-decoder",
+  "pad_token_id": 1,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0.dev0"
+}

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": "4.34.0.dev0"
+}

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": [
+    960,
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+  ]
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<s_total>",
+    "</s_total>",
+    "<s_tips>",
+    "</s_tips>",
+    "<s_time>",
+    "</s_time>",
+    "<s_telephone>",
+    "</s_telephone>",
+    "<s_tax>",
+    "</s_tax>",
+    "<s_subtotal>",
+    "</s_subtotal>",
+    "<s_store_name>",
+    "</s_store_name>",
+    "<s_store_addr>",
+    "</s_store_addr>",
+    "<s_others>",
+    "</s_others>",
+    "<s_text>",
+    "</s_text>",
+    "<s_line_items>",
+    "</s_line_items>",
+    "<s_item_value>",
+    "</s_item_value>",
+    "<s_item_quantity>",
+    "</s_item_quantity>",
+    "<s_item_name>",
+    "</s_item_name>",
+    "<s_item_key>",
+    "</s_item_key>",
+    "<s_ignore>",
+    "</s_ignore>",
+    "<s_date>",
+    "</s_date>",
+    "<s_receipt>",
+    "</s_receipt>"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
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+    "lstrip": true,
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+    "single_word": false
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+  "pad_token": "<pad>",
+  "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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+    "content": "<mask>",
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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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