Training in progress, epoch 0

config.json

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+{
+  "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    6,
+    2
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+  "drop_path_rate": 0.1,
+  "embed_dim": 96,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "advertisement",
+    "1": "budget",
+    "2": "email",
+    "3": "file_folder",
+    "4": "form",
+    "5": "handwritten",
+    "6": "invoice",
+    "7": "letter",
+    "8": "memo",
+    "9": "news_article",
+    "10": "presentation",
+    "11": "questionnaire",
+    "12": "resume",
+    "13": "scientific_publication",
+    "14": "scientific_report",
+    "15": "specification"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "advertisement": 0,
+    "budget": 1,
+    "email": 2,
+    "file_folder": 3,
+    "form": 4,
+    "handwritten": 5,
+    "invoice": 6,
+    "letter": 7,
+    "memo": 8,
+    "news_article": 9,
+    "presentation": 10,
+    "questionnaire": 11,
+    "resume": 12,
+    "scientific_publication": 13,
+    "scientific_report": 14,
+    "specification": 15
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
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+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
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+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+    0.456,
+    0.406
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+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
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+    0.224,
+    0.225
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+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Jun18_13-33-33_9f3187adc653/events.out.tfevents.1718717695.9f3187adc653.203.0

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runs/Jun18_14-17-36_9f3187adc653/events.out.tfevents.1718720257.9f3187adc653.203.1

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training_args.bin

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