Training in progress, epoch 0

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "microsoft/resnet-50",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    4,
+    6,
+    3
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "Aishwarya_Rai",
+    "1": "Akhilesh_Yadav",
+    "10": "MS_Dhoni",
+    "11": "Mahatma_Gandhi",
+    "12": "Mamata_Banerjee",
+    "13": "Mukesh_Ambani",
+    "14": "Narendra_Modi",
+    "15": "Rahul_Gandhi",
+    "16": "Ranveer_Singh",
+    "17": "Ratan_Tata",
+    "18": "Sachin_Tendulkar",
+    "19": "Shahrukh_Khan",
+    "2": "Akshay_Kumar",
+    "20": "Sonia_Gandhi",
+    "21": "Sundar_Pichai",
+    "22": "Virat_Kohli",
+    "23": "Yogi_Adityanath",
+    "3": "Amit_Saha",
+    "4": "Arijit_Singh",
+    "5": "Arvind_Kejriwal",
+    "6": "Baba_Ramdev",
+    "7": "Gautam_Adani",
+    "8": "Kishore_Kumar",
+    "9": "Lata_Mangeshkar"
+  },
+  "label2id": {
+    "Aishwarya_Rai": "0",
+    "Akhilesh_Yadav": "1",
+    "Akshay_Kumar": "2",
+    "Amit_Saha": "3",
+    "Arijit_Singh": "4",
+    "Arvind_Kejriwal": "5",
+    "Baba_Ramdev": "6",
+    "Gautam_Adani": "7",
+    "Kishore_Kumar": "8",
+    "Lata_Mangeshkar": "9",
+    "MS_Dhoni": "10",
+    "Mahatma_Gandhi": "11",
+    "Mamata_Banerjee": "12",
+    "Mukesh_Ambani": "13",
+    "Narendra_Modi": "14",
+    "Rahul_Gandhi": "15",
+    "Ranveer_Singh": "16",
+    "Ratan_Tata": "17",
+    "Sachin_Tendulkar": "18",
+    "Shahrukh_Khan": "19",
+    "Sonia_Gandhi": "20",
+    "Sundar_Pichai": "21",
+    "Virat_Kohli": "22",
+    "Yogi_Adityanath": "23"
+  },
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.18.0"
+}

preprocessor_config.json

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

pytorch_model.bin

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training_args.bin

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