Training in progress, step 100

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "microsoft/resnet-152",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    8,
+    36,
+    3
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "Black-grass",
+    "1": "Charlock",
+    "10": "Small-flowered Cranesbill",
+    "11": "Sugar beet",
+    "2": "Cleavers",
+    "3": "Common Chickweed",
+    "4": "Common wheat",
+    "5": "Fat Hen",
+    "6": "Loose Silky-bent",
+    "7": "Maize",
+    "8": "Scentless Mayweed",
+    "9": "Shepherds Purse"
+  },
+  "label2id": {
+    "Black-grass": "0",
+    "Charlock": "1",
+    "Cleavers": "2",
+    "Common Chickweed": "3",
+    "Common wheat": "4",
+    "Fat Hen": "5",
+    "Loose Silky-bent": "6",
+    "Maize": "7",
+    "Scentless Mayweed": "8",
+    "Shepherds Purse": "9",
+    "Small-flowered Cranesbill": "10",
+    "Sugar beet": "11"
+  },
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1"
+}

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": 224
+  }
+}

pytorch_model.bin

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training_args.bin

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