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README.md

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+
+# ViT(google/vit-base-patch16-224-in21k) finetuned on document classifaction task over DocLayNet-base dataset
+
+## Model description
+
+ViT(google/vit-base-patch16-224-in21k) finetuned on document classification
+
+
+
+## Training data
+DocLayNet-base
+https://huggingface.co/datasets/pierreguillou/DocLayNet-base
+
+## Training procedure
+
+
+hyperparameters:
+
+{
+    'batch_size': 64,
+    'num_epochs': 20,
+    'learning_rate': 1e-4,
+    'weight_decay': 0.05,
+    'warmup_ratio': 0.2,
+    'gradient_clip': 0.1,
+    'dropout_rate': 0.1,
+    'label_smoothing': 0.1
+    'optmizer': 'AdamW'
+}
+## Evaluation results
+Test Loss: 0.8622, Test Acc: 81.36%
+
+## Usage
+

config.json

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+{
+  "_name_or_path": "facebook/deit-base-distilled-patch16-224",
+  "architectures": [
+    "DeiTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "deit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1"
+}

label_mapping.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4a6201f009a26f4dc3d7b56ce2a11d57a6a6d6638f25b09c8fe0cff82d282a2a
+size 1016

model.safetensors

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+oid sha256:7f82df7a54e6ad93368486223f48132be405e1275add362f0ae58a549b9ea75f
+size 343242720

preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}