Training in progress, epoch 0

config.json

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+{
+  "_name_or_path": "facebook/convnextv2-huge-22k-384",
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    352,
+    704,
+    1408,
+    2816
+  ],
+  "id2label": {
+    "0": "Anasaitis_canosus",
+    "1": "Araneus_diadematus",
+    "2": "Araneus_marmoreus",
+    "3": "Argiope_argentata",
+    "4": "Argiope_aurantia",
+    "5": "Argiope_bruennichi",
+    "6": "Argiope_trifasciata",
+    "7": "Dolomedes_tenebrosus",
+    "8": "Dolomedes_triton",
+    "9": "Dysdera_crocata",
+    "10": "Eris_militaris",
+    "11": "Gasteracantha_cancriformis",
+    "12": "Hasarius_adansoni",
+    "13": "Larinioides_cornutus",
+    "14": "Latrodectus_geometricus",
+    "15": "Latrodectus_hesperus",
+    "16": "Leucauge_argyrobapta",
+    "17": "Leucauge_venusta",
+    "18": "Lyssomanes_viridis",
+    "19": "Mangora_acalypha",
+    "20": "Maratus_griseus",
+    "21": "Marpissa_muscosa",
+    "22": "Menemerus_bivittatus",
+    "23": "Menemerus_semilimbatus",
+    "24": "Micrathena_gracilis",
+    "25": "Misumena_vatia",
+    "26": "Neoscona_crucifera",
+    "27": "Neoscona_oaxacensis",
+    "28": "Nephila_pilipes",
+    "29": "Nuctenea_umbratica",
+    "30": "Paraphidippus_aurantius",
+    "31": "Peucetia_viridans",
+    "32": "Phidippus_audax",
+    "33": "Philaeus_chrysops",
+    "34": "Pholcus_phalangioides",
+    "35": "Pisaura_mirabilis",
+    "36": "Pisaurina_mira",
+    "37": "Platycryptus_undatus",
+    "38": "Plexippus_paykulli",
+    "39": "Rabidosa_rabida",
+    "40": "Salticus_scenicus",
+    "41": "Steatoda_grossa",
+    "42": "Steatoda_nobilis",
+    "43": "Steatoda_triangulosa",
+    "44": "Synema_globosum",
+    "45": "Thomisus_onustus",
+    "46": "Trichonephila_clavata",
+    "47": "Trichonephila_clavipes",
+    "48": "Verrucosa_arenata",
+    "49": "Zoropsis_spinimana"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Anasaitis_canosus": 0,
+    "Araneus_diadematus": 1,
+    "Araneus_marmoreus": 2,
+    "Argiope_argentata": 3,
+    "Argiope_aurantia": 4,
+    "Argiope_bruennichi": 5,
+    "Argiope_trifasciata": 6,
+    "Dolomedes_tenebrosus": 7,
+    "Dolomedes_triton": 8,
+    "Dysdera_crocata": 9,
+    "Eris_militaris": 10,
+    "Gasteracantha_cancriformis": 11,
+    "Hasarius_adansoni": 12,
+    "Larinioides_cornutus": 13,
+    "Latrodectus_geometricus": 14,
+    "Latrodectus_hesperus": 15,
+    "Leucauge_argyrobapta": 16,
+    "Leucauge_venusta": 17,
+    "Lyssomanes_viridis": 18,
+    "Mangora_acalypha": 19,
+    "Maratus_griseus": 20,
+    "Marpissa_muscosa": 21,
+    "Menemerus_bivittatus": 22,
+    "Menemerus_semilimbatus": 23,
+    "Micrathena_gracilis": 24,
+    "Misumena_vatia": 25,
+    "Neoscona_crucifera": 26,
+    "Neoscona_oaxacensis": 27,
+    "Nephila_pilipes": 28,
+    "Nuctenea_umbratica": 29,
+    "Paraphidippus_aurantius": 30,
+    "Peucetia_viridans": 31,
+    "Phidippus_audax": 32,
+    "Philaeus_chrysops": 33,
+    "Pholcus_phalangioides": 34,
+    "Pisaura_mirabilis": 35,
+    "Pisaurina_mira": 36,
+    "Platycryptus_undatus": 37,
+    "Plexippus_paykulli": 38,
+    "Rabidosa_rabida": 39,
+    "Salticus_scenicus": 40,
+    "Steatoda_grossa": 41,
+    "Steatoda_nobilis": 42,
+    "Steatoda_triangulosa": 43,
+    "Synema_globosum": 44,
+    "Thomisus_onustus": 45,
+    "Trichonephila_clavata": 46,
+    "Trichonephila_clavipes": 47,
+    "Verrucosa_arenata": 48,
+    "Zoropsis_spinimana": 49
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 384
+  }
+}

pytorch_model.bin

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training_args.bin

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