Training in progress, step 500

config.json

@@ -0,0 +1,59 @@
+{
+  "_name_or_path": "google/mobilenet_v2_1.0_224",
+  "architectures": [
+    "MobileNetV2ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.2,
+  "depth_divisible_by": 8,
+  "depth_multiplier": 1.0,
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "calling",
+    "1": "clapping",
+    "10": "running",
+    "11": "sitting",
+    "12": "sleeping",
+    "13": "texting",
+    "14": "using_laptop",
+    "2": "cycling",
+    "3": "dancing",
+    "4": "drinking",
+    "5": "eating",
+    "6": "fighting",
+    "7": "hugging",
+    "8": "laughing",
+    "9": "listening_to_music"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "calling": "0",
+    "clapping": "1",
+    "cycling": "2",
+    "dancing": "3",
+    "drinking": "4",
+    "eating": "5",
+    "fighting": "6",
+    "hugging": "7",
+    "laughing": "8",
+    "listening_to_music": "9",
+    "running": "10",
+    "sitting": "11",
+    "sleeping": "12",
+    "texting": "13",
+    "using_laptop": "14"
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 32,
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "MobileNetV2ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

runs/Jun18_14-18-48_e106558e0730/events.out.tfevents.1718720332.e106558e0730.3183.0

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training_args.bin

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