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README.md

@@ -1,3 +1,53 @@
 ---
 license: mit
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: DonutProcessor_Detail
+  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. -->
+
+# DonutProcessor_Detail
+
+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: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 1.13.1
+- Datasets 2.13.2
+- Tokenizers 0.13.3

added_tokens.json

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+}

config.json

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+  "_name_or_path": "naver-clova-ix/donut-base",
+  "architectures": [
+    "VisionEncoderDecoderModel"
+  ],
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout": 0.1,
+    "early_stopping": false,
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+    "encoder_ffn_dim": 4096,
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+    "encoder_layers": 12,
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+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "is_decoder": true,
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+    "max_position_embeddings": 1536,
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+    "model_type": "mbart",
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+    "num_return_sequences": 1,
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+    "hidden_act": "gelu",
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+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "is_decoder": false,
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+    "mlp_ratio": 4.0,
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+    "path_norm": true,
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+    "window_size": 10
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+  "pad_token_id": 1,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
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+}

generation_config.json

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+{
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+  "forced_eos_token_id": 2,
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+  "transformers_version": "4.30.2"
+}

optimizer.pt

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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": [
+    720,
+    960
+  ]
+}

pytorch_model.bin

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rng_state.pth

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scheduler.pt

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sentencepiece.bpe.model

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special_tokens_map.json

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+  "mask_token": {
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+}

tokenizer_config.json

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+  "processor_class": "DonutProcessor",
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+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
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+}

trainer_state.json

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training_args.bin

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