Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "apple/mobilevitv2-1.0-imagenet1k-256",
+  "architectures": [
+    "MobileViTV2ForImageClassification"
+  ],
+  "aspp_dropout_prob": 0.1,
+  "aspp_out_channels": 512,
+  "atrous_rates": [
+    6,
+    12,
+    18
+  ],
+  "attn_dropout": 0.0,
+  "base_attn_unit_dims": [
+    128,
+    192,
+    256
+  ],
+  "classifier_dropout_prob": 0.1,
+  "conv_kernel_size": 3,
+  "expand_ratio": 2.0,
+  "ffn_dropout": 0.0,
+  "ffn_multiplier": 2,
+  "hidden_act": "swish",
+  "id2label": {
+    "0": "Normal",
+    "1": "Abnormal"
+  },
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Abnormal": 1,
+    "Normal": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 2.0,
+  "model_type": "mobilevitv2",
+  "n_attn_blocks": [
+    2,
+    4,
+    3
+  ],
+  "num_channels": 3,
+  "output_stride": 32,
+  "patch_size": 2,
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.2",
+  "width_multiplier": 1.0
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 256,
+    "width": 256
+  },
+  "do_center_crop": true,
+  "do_flip_channel_order": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_processor_type": "MobileViTImageProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 288
+  }
+}

pytorch_model.bin

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+size 17720129

training_args.bin

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