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": "Acropore_branched",
+    "1": "Acropore_digitised",
+    "2": "Acropore_tabular",
+    "3": "Algae_assembly",
+    "4": "Algae_limestone",
+    "5": "Algae_sodding",
+    "6": "Dead_coral",
+    "7": "Fish",
+    "8": "Human_object",
+    "9": "Living_coral",
+    "10": "Millepore",
+    "11": "No_acropore_encrusting",
+    "12": "No_acropore_massive",
+    "13": "No_acropore_sub_massive",
+    "14": "Rock",
+    "15": "Sand",
+    "16": "Scrap",
+    "17": "Sea_cucumber",
+    "18": "Syringodium_isoetifolium",
+    "19": "Thalassodendron_ciliatum",
+    "20": "Useless"
+  },
+  "image_size": 518,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Acropore_branched": 0,
+    "Acropore_digitised": 1,
+    "Acropore_tabular": 2,
+    "Algae_assembly": 3,
+    "Algae_limestone": 4,
+    "Algae_sodding": 5,
+    "Dead_coral": 6,
+    "Fish": 7,
+    "Human_object": 8,
+    "Living_coral": 9,
+    "Millepore": 10,
+    "No_acropore_encrusting": 11,
+    "No_acropore_massive": 12,
+    "No_acropore_sub_massive": 13,
+    "Rock": 14,
+    "Sand": 15,
+    "Scrap": 16,
+    "Sea_cucumber": 17,
+    "Syringodium_isoetifolium": 18,
+    "Thalassodendron_ciliatum": 19,
+    "Useless": 20
+  },
+  "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": "multi_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": "4.34.1",
+  "use_swiglu_ffn": false
+}

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
+  }
+}

pytorch_model.bin

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+size 346527566

training_args.bin

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