Test passed

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9988452655889145,
+    "eval_loss": 0.0029988216701895,
+    "eval_runtime": 7.4103,
+    "eval_samples_per_second": 116.864,
+    "eval_steps_per_second": 14.709,
+    "test_accuracy": 0.9,
+    "test_loss": 0.5731536149978638,
+    "test_runtime": 0.4078,
+    "test_samples_per_second": 49.045,
+    "test_steps_per_second": 7.357,
+    "train_loss": 0.05322713415537562,
+    "train_runtime": 260.1266,
+    "train_samples_per_second": 64.507,
+    "train_steps_per_second": 6.458
+}

config.json

@@ -1,48 +1,33 @@
 {
-  "_name_or_path": "microsoft/resnet-50",
+  "_name_or_path": "google/mobilenet_v2_0.75_160",
   "architectures": [
-    "ResNetForImageClassification"
-  ],
-  "depths": [
-    3,
-    4,
-    6,
-    3
-  ],
-  "downsample_in_first_stage": false,
-  "embedding_size": 64,
-  "hidden_act": "relu",
-  "hidden_sizes": [
-    256,
-    512,
-    1024,
-    2048
+    "MobileNetV2ForImageClassification"
   ],
+  "classifier_dropout_prob": 0.2,
+  "depth_divisible_by": 8,
+  "depth_multiplier": 0.75,
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
   "id2label": {
     "0": "day",
     "1": "night"
   },
+  "image_size": 160,
+  "initializer_range": 0.02,
   "label2id": {
     "day": "0",
     "night": "1"
   },
-  "layer_type": "bottleneck",
-  "model_type": "resnet",
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
   "num_channels": 3,
-  "out_features": [
-    "stage4"
-  ],
-  "out_indices": [
-    4
-  ],
+  "output_stride": 32,
   "problem_type": "single_label_classification",
-  "stage_names": [
-    "stem",
-    "stage1",
-    "stage2",
-    "stage3",
-    "stage4"
-  ],
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
   "torch_dtype": "float32",
   "transformers_version": "4.31.0"
 }

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9988452655889145,
+    "eval_loss": 0.0029988216701895,
+    "eval_runtime": 7.4103,
+    "eval_samples_per_second": 116.864,
+    "eval_steps_per_second": 14.709
+}

preprocessor_config.json

@@ -1,23 +1,26 @@
 {
-  "crop_pct": 0.875,
+  "crop_size": {
+    "height": 160,
+    "width": 160
+  },
+  "do_center_crop": true,
   "do_normalize": true,
   "do_rescale": true,
   "do_resize": true,
-  "feature_extractor_type": "ConvNextFeatureExtractor",
   "image_mean": [
-    0.485,
-    0.456,
-    0.406
+    0.5,
+    0.5,
+    0.5
   ],
-  "image_processor_type": "ConvNextFeatureExtractor",
+  "image_processor_type": "MobileNetV2FeatureExtractor",
   "image_std": [
-    0.229,
-    0.224,
-    0.225
+    0.5,
+    0.5,
+    0.5
   ],
-  "resample": 3,
+  "resample": 2,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "shortest_edge": 224
+    "shortest_edge": 192
   }
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bcf315ac61005fb31f9a6746f866e787dd76036bd9a40fbc6dcd476a8f44f4df
-size 94374989
+oid sha256:1508b32832f4c05bf52dfa281ac854c11e913b37545bc2c2bc96ea1921bcde1a
+size 5645493

runs/Aug30_14-29-36_surveily-ag-02/events.out.tfevents.1693398700.surveily-ag-02.5833.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:faf7f007dd35b7a6f14b8a05301469e8d51702b8a72154364f56d9a22bf1d498
+size 411

runs/Aug31_10-33-05_surveily-ag-02/events.out.tfevents.1693470786.surveily-ag-02.5559.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2167a09814e611e1e41bfba81cc253f2e4281c1e1004e7271b4e8a078a18f856
+size 4631

runs/Aug31_10-33-05_surveily-ag-02/events.out.tfevents.1693470800.surveily-ag-02.5559.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f123f85907305ff4902283fcea3eda24b7266966160521470b2e06c2deeb2b80
+size 405

runs/Aug31_10-45-42_surveily-ag-02/events.out.tfevents.1693471542.surveily-ag-02.5559.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5adc5aef84c138d8047c77d5bb04cc7a5efb6f90455d3e9c64ccc11a837d8a1f
+size 6874

runs/Aug31_10-45-42_surveily-ag-02/events.out.tfevents.1693471618.surveily-ag-02.5559.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a7165c4106f7c4811f0d0a34c93a123445bcddb5142bcb12817c3501af09907
+size 411

runs/Aug31_10-49-15_surveily-ag-02/events.out.tfevents.1693471755.surveily-ag-02.5559.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee3936723ab4ee09131dfbdceb2faf6c08d228adf659e37f30e12f4c0659c857
+size 5804

runs/Aug31_10-49-15_surveily-ag-02/events.out.tfevents.1693471822.surveily-ag-02.5559.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1990c863753e87d7d14b3843472e00e1c94c3a509128f3a1525ab742d9fbe187
+size 411

runs/Aug31_11-01-42_surveily-ag-02/events.out.tfevents.1693472502.surveily-ag-02.5559.6

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f42754a15d5e5f5f99398c2882a5d309d3fe79f1eb97f4807269edf3164986b
+size 5755

runs/Aug31_11-01-42_surveily-ag-02/events.out.tfevents.1693472571.surveily-ag-02.5559.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df763bc6e1533acc9665f8418ef8296a5ded5371b5a7c314ae9fdc832f470be3
+size 411

runs/Aug31_11-11-25_surveily-ag-02/events.out.tfevents.1693473085.surveily-ag-02.5559.8

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a3bca38e25facf83ae232506d4e3acddc09e81b951941f3f62ad12d14552ab6
+size 8303

runs/Aug31_11-11-25_surveily-ag-02/events.out.tfevents.1693473243.surveily-ag-02.5559.9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50948d9c836419a7e928ae836f93cb27954a544c1fb6923b0bc3e729d8028873
+size 411

runs/Aug31_11-26-23_surveily-ag-02/events.out.tfevents.1693473984.surveily-ag-02.6479.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a10ada439f0186aca07e39986ebbcc168477350cadb5daf719b5d45b23f364a8
+size 9577

runs/Aug31_11-26-23_surveily-ag-02/events.out.tfevents.1693474252.surveily-ag-02.6479.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa52a9267f21303797450110279dd7163b56eaa70cf9edf3e93b3c561e92dc0a
+size 411

test_results.json

@@ -0,0 +1,7 @@
+{
+    "test_accuracy": 0.9,
+    "test_loss": 0.5731536149978638,
+    "test_runtime": 0.4078,
+    "test_samples_per_second": 49.045,
+    "test_steps_per_second": 7.357
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 5.0,
+    "train_loss": 0.05322713415537562,
+    "train_runtime": 260.1266,
+    "train_samples_per_second": 64.507,
+    "train_steps_per_second": 6.458
+}

trainer_state.json

@@ -0,0 +1,193 @@
+{
+  "best_metric": 0.0029988216701895,
+  "best_model_checkpoint": "./models/day-night/checkpoint-800",
+  "epoch": 5.0,
+  "global_step": 1680,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.3,
+      "learning_rate": 9.410714285714286e-05,
+      "loss": 0.2756,
+      "step": 100
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 8.815476190476191e-05,
+      "loss": 0.1021,
+      "step": 200
+    },
+    {
+      "epoch": 0.6,
+      "eval_accuracy": 0.9734411085450346,
+      "eval_loss": 0.06794659793376923,
+      "eval_runtime": 7.5982,
+      "eval_samples_per_second": 113.974,
+      "eval_steps_per_second": 14.345,
+      "step": 200
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 8.226190476190476e-05,
+      "loss": 0.1375,
+      "step": 300
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 7.630952380952381e-05,
+      "loss": 0.0199,
+      "step": 400
+    },
+    {
+      "epoch": 1.19,
+      "eval_accuracy": 0.9919168591224018,
+      "eval_loss": 0.018402865156531334,
+      "eval_runtime": 7.4284,
+      "eval_samples_per_second": 116.58,
+      "eval_steps_per_second": 14.673,
+      "step": 400
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 7.035714285714287e-05,
+      "loss": 0.0518,
+      "step": 500
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 6.446428571428572e-05,
+      "loss": 0.0723,
+      "step": 600
+    },
+    {
+      "epoch": 1.79,
+      "eval_accuracy": 0.7852193995381063,
+      "eval_loss": 0.6625365018844604,
+      "eval_runtime": 7.266,
+      "eval_samples_per_second": 119.184,
+      "eval_steps_per_second": 15.001,
+      "step": 600
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 5.851190476190477e-05,
+      "loss": 0.0278,
+      "step": 700
+    },
+    {
+      "epoch": 2.38,
+      "learning_rate": 5.2559523809523814e-05,
+      "loss": 0.0247,
+      "step": 800
+    },
+    {
+      "epoch": 2.38,
+      "eval_accuracy": 0.9988452655889145,
+      "eval_loss": 0.0029988216701895,
+      "eval_runtime": 7.7626,
+      "eval_samples_per_second": 111.56,
+      "eval_steps_per_second": 14.042,
+      "step": 800
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 4.660714285714286e-05,
+      "loss": 0.0576,
+      "step": 900
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 4.0654761904761904e-05,
+      "loss": 0.0273,
+      "step": 1000
+    },
+    {
+      "epoch": 2.98,
+      "eval_accuracy": 0.9884526558891455,
+      "eval_loss": 0.025376001372933388,
+      "eval_runtime": 7.4049,
+      "eval_samples_per_second": 116.95,
+      "eval_steps_per_second": 14.72,
+      "step": 1000
+    },
+    {
+      "epoch": 3.27,
+      "learning_rate": 3.4702380952380956e-05,
+      "loss": 0.0116,
+      "step": 1100
+    },
+    {
+      "epoch": 3.57,
+      "learning_rate": 2.8749999999999997e-05,
+      "loss": 0.012,
+      "step": 1200
+    },
+    {
+      "epoch": 3.57,
+      "eval_accuracy": 0.9965357967667436,
+      "eval_loss": 0.017664099112153053,
+      "eval_runtime": 7.9179,
+      "eval_samples_per_second": 109.373,
+      "eval_steps_per_second": 13.766,
+      "step": 1200
+    },
+    {
+      "epoch": 3.87,
+      "learning_rate": 2.279761904761905e-05,
+      "loss": 0.0266,
+      "step": 1300
+    },
+    {
+      "epoch": 4.17,
+      "learning_rate": 1.6845238095238097e-05,
+      "loss": 0.0142,
+      "step": 1400
+    },
+    {
+      "epoch": 4.17,
+      "eval_accuracy": 0.9907621247113164,
+      "eval_loss": 0.028172077611088753,
+      "eval_runtime": 7.4701,
+      "eval_samples_per_second": 115.929,
+      "eval_steps_per_second": 14.591,
+      "step": 1400
+    },
+    {
+      "epoch": 4.46,
+      "learning_rate": 1.0892857142857144e-05,
+      "loss": 0.0157,
+      "step": 1500
+    },
+    {
+      "epoch": 4.76,
+      "learning_rate": 4.940476190476191e-06,
+      "loss": 0.009,
+      "step": 1600
+    },
+    {
+      "epoch": 4.76,
+      "eval_accuracy": 0.9976905311778291,
+      "eval_loss": 0.01886291243135929,
+      "eval_runtime": 7.2095,
+      "eval_samples_per_second": 120.119,
+      "eval_steps_per_second": 15.119,
+      "step": 1600
+    },
+    {
+      "epoch": 5.0,
+      "step": 1680,
+      "total_flos": 1.0500251940864e+16,
+      "train_loss": 0.05322713415537562,
+      "train_runtime": 260.1266,
+      "train_samples_per_second": 64.507,
+      "train_steps_per_second": 6.458
+    }
+  ],
+  "max_steps": 1680,
+  "num_train_epochs": 5,
+  "total_flos": 1.0500251940864e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a49efc7ccdbc5bcb85d4b5c069494295d7d7c18837510bfc09310d5d69da6b6d
-size 3963
+oid sha256:53b4ae9d886a6031aa41fc0c36cd6d532ef10e49f51b7a12c1bd7368cd09b697
+size 4027