Training in progress, epoch 0

config.json

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+{
+  "_name_or_path": "apple/mobilevitv2-1.0-imagenet1k-256",
+  "architectures": [
+    "MobileViTForImageClassification"
+  ],
+  "aspp_dropout_prob": 0.1,
+  "aspp_out_channels": 512,
+  "atrous_rates": [
+    6,
+    12,
+    18
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "attn_dropout": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "conv_kernel_size": 3,
+  "expand_ratio": 2.0,
+  "ffn_dropout": 0.0,
+  "hidden_act": "swish",
+  "hidden_dropout_prob": 0.1,
+  "hidden_sizes": [
+    144,
+    192,
+    240
+  ],
+  "id2label": {
+    "0": "Toyota_Corolla",
+    "1": "Hyundai_Ioniq",
+    "10": "Ford_Mondeo",
+    "11": "Mazda2_Hybrid",
+    "12": "Mercedes-Benz_E-Class",
+    "13": "Volkswagen_Polo",
+    "14": "Renault_Kangoo",
+    "15": "Ford_Focus",
+    "16": "Mercedes-Benz_C-Class",
+    "17": "Volkswagen_Golf",
+    "18": "SEAT_Leon",
+    "19": "Dacia_Dokker",
+    "2": "SEAT_IBIZA",
+    "20": "black",
+    "21": "silver",
+    "22": "white",
+    "23": "red",
+    "24": "blue",
+    "3": "Fiat_Egea",
+    "4": "Renault_Clio",
+    "5": "Audi_A3",
+    "6": "Toyota_Prius",
+    "7": "Kia_Rio",
+    "8": "Fiat_Tipo",
+    "9": "Citroen_C3"
+  },
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Audi_A3": "5",
+    "Citroen_C3": "9",
+    "Dacia_Dokker": "19",
+    "Fiat_Egea": "3",
+    "Fiat_Tipo": "8",
+    "Ford_Focus": "15",
+    "Ford_Mondeo": "10",
+    "Hyundai_Ioniq": "1",
+    "Kia_Rio": "7",
+    "Mazda2_Hybrid": "11",
+    "Mercedes-Benz_C-Class": "16",
+    "Mercedes-Benz_E-Class": "12",
+    "Renault_Clio": "4",
+    "Renault_Kangoo": "14",
+    "SEAT_IBIZA": "2",
+    "SEAT_Leon": "18",
+    "Toyota_Corolla": "0",
+    "Toyota_Prius": "6",
+    "Volkswagen_Golf": "17",
+    "Volkswagen_Polo": "13",
+    "black": "20",
+    "blue": "24",
+    "red": "23",
+    "silver": "21",
+    "white": "22"
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 2.0,
+  "model_type": "mobilevit",
+  "neck_hidden_sizes": [
+    16,
+    32,
+    64,
+    96,
+    128,
+    160,
+    640
+  ],
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "output_stride": 32,
+  "patch_size": 2,
+  "problem_type": "multi_label_classification",
+  "qkv_bias": true,
+  "semantic_loss_ignore_index": 255,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.1",
+  "width_multiplier": 1.0
+}

preprocessor_config.json

@@ -0,0 +1,16 @@
+{
+  "crop_size": {
+    "height": 256,
+    "width": 256
+  },
+  "do_center_crop": true,
+  "do_flip_channel_order": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_processor_type": "MobileViTFeatureExtractor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 288
+  }
+}

pytorch_model.bin

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+size 19215286

training_args.bin

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