Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "facebook/dinov2-base",
+  "apply_layernorm": true,
+  "architectures": [
+    "Dinov2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "abyssinian",
+    "1": "american_bulldog",
+    "2": "american_pit_bull_terrier",
+    "3": "basset_hound",
+    "4": "beagle",
+    "5": "bengal",
+    "6": "birman",
+    "7": "bombay",
+    "8": "boxer",
+    "9": "british_shorthair",
+    "10": "chihuahua",
+    "11": "egyptian_mau",
+    "12": "english_cocker_spaniel",
+    "13": "english_setter",
+    "14": "german_shorthaired",
+    "15": "great_pyrenees",
+    "16": "havanese",
+    "17": "japanese_chin",
+    "18": "keeshond",
+    "19": "leonberger",
+    "20": "maine_coon",
+    "21": "miniature_pinscher",
+    "22": "newfoundland",
+    "23": "persian",
+    "24": "pomeranian",
+    "25": "pug",
+    "26": "ragdoll",
+    "27": "russian_blue",
+    "28": "saint_bernard",
+    "29": "samoyed",
+    "30": "scottish_terrier",
+    "31": "shiba_inu",
+    "32": "siamese",
+    "33": "sphynx",
+    "34": "staffordshire_bull_terrier",
+    "35": "wheaten_terrier",
+    "36": "yorkshire_terrier"
+  },
+  "image_size": 518,
+  "initializer_range": 0.02,
+  "label2id": {
+    "abyssinian": 0,
+    "american_bulldog": 1,
+    "american_pit_bull_terrier": 2,
+    "basset_hound": 3,
+    "beagle": 4,
+    "bengal": 5,
+    "birman": 6,
+    "bombay": 7,
+    "boxer": 8,
+    "british_shorthair": 9,
+    "chihuahua": 10,
+    "egyptian_mau": 11,
+    "english_cocker_spaniel": 12,
+    "english_setter": 13,
+    "german_shorthaired": 14,
+    "great_pyrenees": 15,
+    "havanese": 16,
+    "japanese_chin": 17,
+    "keeshond": 18,
+    "leonberger": 19,
+    "maine_coon": 20,
+    "miniature_pinscher": 21,
+    "newfoundland": 22,
+    "persian": 23,
+    "pomeranian": 24,
+    "pug": 25,
+    "ragdoll": 26,
+    "russian_blue": 27,
+    "saint_bernard": 28,
+    "samoyed": 29,
+    "scottish_terrier": 30,
+    "shiba_inu": 31,
+    "siamese": 32,
+    "sphynx": 33,
+    "staffordshire_bull_terrier": 34,
+    "wheaten_terrier": 35,
+    "yorkshire_terrier": 36
+  },
+  "layer_norm_eps": 1e-06,
+  "layerscale_value": 1.0,
+  "mlp_ratio": 4,
+  "model_type": "dinov2",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_features": [
+    "stage12"
+  ],
+  "out_indices": [
+    12
+  ],
+  "patch_size": 14,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "reshape_hidden_states": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "use_swiglu_ffn": false
+}

model.safetensors

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+size 346575116

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

runs/Nov24_11-17-32_b8e0ca135f71/events.out.tfevents.1732449687.b8e0ca135f71.1091.0

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+size 12374

training_args.bin

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