Training in progress, epoch 0

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "microsoft/resnet-18",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    64,
+    128,
+    256,
+    512
+  ],
+  "id2label": {
+    "0": "aquatic_mammals",
+    "1": "fish",
+    "2": "flowers",
+    "3": "food_containers",
+    "4": "fruit_and_vegetables",
+    "5": "household_electrical_devices",
+    "6": "household_furniture",
+    "7": "insects",
+    "8": "large_carnivores",
+    "9": "large_man-made_outdoor_things",
+    "10": "large_natural_outdoor_scenes",
+    "11": "large_omnivores_and_herbivores",
+    "12": "medium_mammals",
+    "13": "non-insect_invertebrates",
+    "14": "people",
+    "15": "reptiles",
+    "16": "small_mammals",
+    "17": "trees",
+    "18": "vehicles_1",
+    "19": "vehicles_2"
+  },
+  "ignore_mismatched_sizes": true,
+  "label2id": {
+    "aquatic_mammals": 0,
+    "fish": 1,
+    "flowers": 2,
+    "food_containers": 3,
+    "fruit_and_vegetables": 4,
+    "household_electrical_devices": 5,
+    "household_furniture": 6,
+    "insects": 7,
+    "large_carnivores": 8,
+    "large_man-made_outdoor_things": 9,
+    "large_natural_outdoor_scenes": 10,
+    "large_omnivores_and_herbivores": 11,
+    "medium_mammals": 12,
+    "non-insect_invertebrates": 13,
+    "people": 14,
+    "reptiles": 15,
+    "small_mammals": 16,
+    "trees": 17,
+    "vehicles_1": 18,
+    "vehicles_2": 19
+  },
+  "layer_type": "basic",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": null,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

pytorch_model.bin

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training_args.bin

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