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README.md

@@ -1,3 +1,55 @@
 ---
 license: mit
+base_model: naver-clova-ix/donut-base
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: model-ocr-fp-banghid-v1
+  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. -->
+
+# model-ocr-fp-banghid-v1
+
+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: 40
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

added_tokens.json

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+  "</s_NPWPlawanTransaksi>": 57548,
+  "</s_NPWPpenjual>": 57546,
+  "</s_NamaPenjual>": 57544,
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+  "</s_PPnBM>": 57538,
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+  "</s_diskon>": 57534,
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+  "</s_hargaTotal>": 57530,
+  "</s_ppn>": 57528,
+  "</s_referensi>": 57526,
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+  "<s_NPWPlawanTransaksi>": 57547,
+  "<s_NPWPpenjual>": 57545,
+  "<s_NamaPenjual>": 57543,
+  "<s_NoFakturPajak>": 57541,
+  "<s_NoNPWPlawanTransaksi>": 57539,
+  "<s_PPnBM>": 57537,
+  "<s_TanggalFakturPajak>": 57535,
+  "<s_diskon>": 57533,
+  "<s_dpp>": 57531,
+  "<s_hargaTotal>": 57529,
+  "<s_iitcdip>": 57523,
+  "<s_ppn>": 57527,
+  "<s_referensi>": 57525,
+  "<s_synthdog>": 57524,
+  "<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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+    "d_model": 1024,
+    "decoder_attention_heads": 16,
+    "decoder_ffn_dim": 4096,
+    "decoder_layerdrop": 0.0,
+    "decoder_layers": 4,
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+    "diversity_penalty": 0.0,
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+    "dropout": 0.1,
+    "early_stopping": false,
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+    "encoder_ffn_dim": 4096,
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+      "1": "LABEL_1"
+    },
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+    "model_type": "mbart",
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+    "id2label": {
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+      "1": "LABEL_1"
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+    "mlp_ratio": 4.0,
+    "model_type": "donut-swin",
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+    "patch_size": 4,
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+    "return_dict": true,
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+    "temperature": 1.0,
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+    "use_absolute_embeddings": false,
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+    "window_size": 10
+  },
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+  "model_type": "vision-encoder-decoder",
+  "pad_token_id": 1,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.1"
+}

generation_config.json

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+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.39.1"
+}

model.safetensors

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preprocessor_config.json

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+    "size",
+    "resample",
+    "do_thumbnail",
+    "do_align_long_axis",
+    "do_pad",
+    "random_padding",
+    "do_rescale",
+    "rescale_factor",
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+  "size": [
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+  ]
+}

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special_tokens_map.json

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tokenizer_config.json

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+}

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