Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "google/mobilenet_v1_0.75_192",
+  "architectures": [
+    "MobileNetV1ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.001,
+  "depth_multiplier": 0.75,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "Long SL",
+    "1": "Long TP",
+    "2": "Short SL",
+    "3": "Short TP"
+  },
+  "image_size": 192,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Long SL": 0,
+    "Long TP": 1,
+    "Short SL": 2,
+    "Short TP": 3
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v1",
+  "num_channels": 3,
+  "problem_type": "single_label_classification",
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2"
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 192,
+    "width": 192
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "MobileNetV1ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

pytorch_model.bin

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+size 7397497

training_args.bin

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