End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.771689497716895
+      value: 0.7853881278538812
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6333
-- Accuracy: 0.7717
+- Loss: 0.5715
+- Accuracy: 0.7854
 
 ## Model description
 

all_results.json

@@ -1,18 +1,18 @@
 {
     "epoch": 19.51,
-    "eval_accuracy": 0.7808219178082192,
-    "eval_loss": 0.7600917220115662,
-    "eval_runtime": 1.4126,
-    "eval_samples_per_second": 155.038,
-    "eval_steps_per_second": 19.822,
-    "test_accuracy": 0.7534246575342466,
-    "test_loss": 0.9021590948104858,
-    "test_runtime": 2.9223,
-    "test_samples_per_second": 74.941,
-    "test_steps_per_second": 9.582,
+    "eval_accuracy": 0.7853881278538812,
+    "eval_loss": 0.5714804530143738,
+    "eval_runtime": 1.3912,
+    "eval_samples_per_second": 157.415,
+    "eval_steps_per_second": 20.126,
+    "test_accuracy": 0.7442922374429224,
+    "test_loss": 0.6142343282699585,
+    "test_runtime": 1.7009,
+    "test_samples_per_second": 128.759,
+    "test_steps_per_second": 16.462,
     "total_flos": 3.167575685961523e+17,
-    "train_loss": 0.20977047681808472,
-    "train_runtime": 269.1243,
-    "train_samples_per_second": 48.528,
-    "train_steps_per_second": 1.486
+    "train_loss": 0.4159336131811142,
+    "train_runtime": 271.0168,
+    "train_samples_per_second": 48.189,
+    "train_steps_per_second": 1.476
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 19.51,
-    "eval_accuracy": 0.7808219178082192,
-    "eval_loss": 0.7600917220115662,
-    "eval_runtime": 1.4126,
-    "eval_samples_per_second": 155.038,
-    "eval_steps_per_second": 19.822
+    "eval_accuracy": 0.7853881278538812,
+    "eval_loss": 0.5714804530143738,
+    "eval_runtime": 1.3912,
+    "eval_samples_per_second": 157.415,
+    "eval_steps_per_second": 20.126
 }

runs/Nov02_21-23-22_a4709a859fdb/events.out.tfevents.1698960541.a4709a859fdb.1287.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16bd5e5b04f666f2d83f1357b1239223987c2148b986af3b399b0473db4d228b
+size 411

test_results.json

@@ -1,7 +1,7 @@
 {
-    "test_accuracy": 0.7534246575342466,
-    "test_loss": 0.9021590948104858,
-    "test_runtime": 2.9223,
-    "test_samples_per_second": 74.941,
-    "test_steps_per_second": 9.582
+    "test_accuracy": 0.7442922374429224,
+    "test_loss": 0.6142343282699585,
+    "test_runtime": 1.7009,
+    "test_samples_per_second": 128.759,
+    "test_steps_per_second": 16.462
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 19.51,
     "total_flos": 3.167575685961523e+17,
-    "train_loss": 0.20977047681808472,
-    "train_runtime": 269.1243,
-    "train_samples_per_second": 48.528,
-    "train_steps_per_second": 1.486
+    "train_loss": 0.4159336131811142,
+    "train_runtime": 271.0168,
+    "train_samples_per_second": 48.189,
+    "train_steps_per_second": 1.476
 }

trainer_state.json

@@ -1,6 +1,6 @@
 {
-  "best_metric": 0.7808219178082192,
-  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-piid/checkpoint-287",
+  "best_metric": 0.7853881278538812,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-piid/checkpoint-123",
   "epoch": 19.51219512195122,
   "eval_steps": 500,
   "global_step": 400,
@@ -11,431 +11,431 @@
     {
       "epoch": 0.49,
       "learning_rate": 1.25e-05,
-      "loss": 0.3298,
+      "loss": 1.3499,
       "step": 10
     },
     {
       "epoch": 0.98,
       "learning_rate": 2.5e-05,
-      "loss": 0.2882,
+      "loss": 1.2088,
       "step": 20
     },
     {
       "epoch": 0.98,
-      "eval_accuracy": 0.730593607305936,
-      "eval_loss": 0.6699911952018738,
-      "eval_runtime": 1.4457,
-      "eval_samples_per_second": 151.479,
-      "eval_steps_per_second": 19.367,
+      "eval_accuracy": 0.4520547945205479,
+      "eval_loss": 1.1661090850830078,
+      "eval_runtime": 1.4325,
+      "eval_samples_per_second": 152.877,
+      "eval_steps_per_second": 19.546,
       "step": 20
     },
     {
       "epoch": 1.46,
       "learning_rate": 3.7500000000000003e-05,
-      "loss": 0.2825,
+      "loss": 0.9539,
       "step": 30
     },
     {
       "epoch": 1.95,
       "learning_rate": 5e-05,
-      "loss": 0.269,
+      "loss": 0.7545,
       "step": 40
     },
     {
       "epoch": 2.0,
-      "eval_accuracy": 0.7123287671232876,
-      "eval_loss": 0.7166977524757385,
-      "eval_runtime": 1.3116,
-      "eval_samples_per_second": 166.973,
-      "eval_steps_per_second": 21.348,
+      "eval_accuracy": 0.6073059360730594,
+      "eval_loss": 0.8865624070167542,
+      "eval_runtime": 1.3434,
+      "eval_samples_per_second": 163.02,
+      "eval_steps_per_second": 20.843,
       "step": 41
     },
     {
       "epoch": 2.44,
       "learning_rate": 4.8611111111111115e-05,
-      "loss": 0.2471,
+      "loss": 0.6405,
       "step": 50
     },
     {
       "epoch": 2.93,
       "learning_rate": 4.722222222222222e-05,
-      "loss": 0.2436,
+      "loss": 0.6281,
       "step": 60
     },
     {
       "epoch": 2.98,
       "eval_accuracy": 0.684931506849315,
-      "eval_loss": 0.8851523399353027,
-      "eval_runtime": 1.304,
-      "eval_samples_per_second": 167.939,
-      "eval_steps_per_second": 21.472,
+      "eval_loss": 0.7788348197937012,
+      "eval_runtime": 1.5459,
+      "eval_samples_per_second": 141.667,
+      "eval_steps_per_second": 18.113,
       "step": 61
     },
     {
       "epoch": 3.41,
       "learning_rate": 4.5833333333333334e-05,
-      "loss": 0.209,
+      "loss": 0.5403,
       "step": 70
     },
     {
       "epoch": 3.9,
       "learning_rate": 4.4444444444444447e-05,
-      "loss": 0.2578,
+      "loss": 0.5939,
       "step": 80
     },
     {
       "epoch": 4.0,
       "eval_accuracy": 0.7397260273972602,
-      "eval_loss": 0.7681576609611511,
-      "eval_runtime": 1.2947,
-      "eval_samples_per_second": 169.148,
-      "eval_steps_per_second": 21.626,
+      "eval_loss": 0.644279420375824,
+      "eval_runtime": 1.4721,
+      "eval_samples_per_second": 148.762,
+      "eval_steps_per_second": 19.02,
       "step": 82
     },
     {
       "epoch": 4.39,
       "learning_rate": 4.305555555555556e-05,
-      "loss": 0.2366,
+      "loss": 0.5419,
       "step": 90
     },
     {
       "epoch": 4.88,
       "learning_rate": 4.166666666666667e-05,
-      "loss": 0.2625,
+      "loss": 0.5254,
       "step": 100
     },
     {
       "epoch": 4.98,
-      "eval_accuracy": 0.7625570776255708,
-      "eval_loss": 0.6845604181289673,
-      "eval_runtime": 1.3726,
-      "eval_samples_per_second": 159.557,
-      "eval_steps_per_second": 20.4,
+      "eval_accuracy": 0.7808219178082192,
+      "eval_loss": 0.5097259879112244,
+      "eval_runtime": 1.552,
+      "eval_samples_per_second": 141.107,
+      "eval_steps_per_second": 18.041,
       "step": 102
     },
     {
       "epoch": 5.37,
       "learning_rate": 4.027777777777778e-05,
-      "loss": 0.2263,
+      "loss": 0.5295,
       "step": 110
     },
     {
       "epoch": 5.85,
       "learning_rate": 3.888888888888889e-05,
-      "loss": 0.2412,
+      "loss": 0.5583,
       "step": 120
     },
     {
       "epoch": 6.0,
-      "eval_accuracy": 0.726027397260274,
-      "eval_loss": 0.8332927823066711,
-      "eval_runtime": 1.5616,
-      "eval_samples_per_second": 140.241,
-      "eval_steps_per_second": 17.93,
+      "eval_accuracy": 0.7853881278538812,
+      "eval_loss": 0.5714804530143738,
+      "eval_runtime": 1.328,
+      "eval_samples_per_second": 164.91,
+      "eval_steps_per_second": 21.084,
       "step": 123
     },
     {
       "epoch": 6.34,
       "learning_rate": 3.7500000000000003e-05,
-      "loss": 0.2226,
+      "loss": 0.4476,
       "step": 130
     },
     {
       "epoch": 6.83,
       "learning_rate": 3.611111111111111e-05,
-      "loss": 0.1545,
+      "loss": 0.3463,
       "step": 140
     },
     {
       "epoch": 6.98,
-      "eval_accuracy": 0.7671232876712328,
-      "eval_loss": 0.7154568433761597,
-      "eval_runtime": 3.308,
-      "eval_samples_per_second": 66.203,
-      "eval_steps_per_second": 8.464,
+      "eval_accuracy": 0.7351598173515982,
+      "eval_loss": 0.6163173317909241,
+      "eval_runtime": 1.4078,
+      "eval_samples_per_second": 155.566,
+      "eval_steps_per_second": 19.89,
       "step": 143
     },
     {
       "epoch": 7.32,
       "learning_rate": 3.472222222222222e-05,
-      "loss": 0.218,
+      "loss": 0.4396,
       "step": 150
     },
     {
       "epoch": 7.8,
       "learning_rate": 3.3333333333333335e-05,
-      "loss": 0.2362,
+      "loss": 0.3878,
       "step": 160
     },
     {
       "epoch": 8.0,
-      "eval_accuracy": 0.7579908675799086,
-      "eval_loss": 0.6572377681732178,
-      "eval_runtime": 1.5109,
-      "eval_samples_per_second": 144.947,
-      "eval_steps_per_second": 18.532,
+      "eval_accuracy": 0.7671232876712328,
+      "eval_loss": 0.5671306848526001,
+      "eval_runtime": 1.3088,
+      "eval_samples_per_second": 167.328,
+      "eval_steps_per_second": 21.394,
       "step": 164
     },
     {
       "epoch": 8.29,
       "learning_rate": 3.194444444444444e-05,
-      "loss": 0.2359,
+      "loss": 0.3628,
       "step": 170
     },
     {
       "epoch": 8.78,
       "learning_rate": 3.055555555555556e-05,
-      "loss": 0.2316,
+      "loss": 0.3653,
       "step": 180
     },
     {
       "epoch": 8.98,
-      "eval_accuracy": 0.771689497716895,
-      "eval_loss": 0.6169833540916443,
-      "eval_runtime": 1.4898,
-      "eval_samples_per_second": 147.004,
-      "eval_steps_per_second": 18.795,
+      "eval_accuracy": 0.7579908675799086,
+      "eval_loss": 0.5689936876296997,
+      "eval_runtime": 1.3448,
+      "eval_samples_per_second": 162.852,
+      "eval_steps_per_second": 20.821,
       "step": 184
     },
     {
       "epoch": 9.27,
       "learning_rate": 2.916666666666667e-05,
-      "loss": 0.1496,
+      "loss": 0.3083,
       "step": 190
     },
     {
       "epoch": 9.76,
       "learning_rate": 2.777777777777778e-05,
-      "loss": 0.2734,
+      "loss": 0.3529,
       "step": 200
     },
     {
       "epoch": 10.0,
-      "eval_accuracy": 0.7671232876712328,
-      "eval_loss": 0.657959520816803,
-      "eval_runtime": 1.3472,
-      "eval_samples_per_second": 162.562,
-      "eval_steps_per_second": 20.784,
+      "eval_accuracy": 0.7579908675799086,
+      "eval_loss": 0.5939760208129883,
+      "eval_runtime": 1.3291,
+      "eval_samples_per_second": 164.77,
+      "eval_steps_per_second": 21.067,
       "step": 205
     },
     {
       "epoch": 10.24,
       "learning_rate": 2.6388888888888892e-05,
-      "loss": 0.2045,
+      "loss": 0.3382,
       "step": 210
     },
     {
       "epoch": 10.73,
       "learning_rate": 2.5e-05,
-      "loss": 0.2071,
+      "loss": 0.301,
       "step": 220
     },
     {
       "epoch": 10.98,
-      "eval_accuracy": 0.726027397260274,
-      "eval_loss": 0.8211172223091125,
-      "eval_runtime": 1.3643,
-      "eval_samples_per_second": 160.518,
-      "eval_steps_per_second": 20.523,
+      "eval_accuracy": 0.7625570776255708,
+      "eval_loss": 0.6303488612174988,
+      "eval_runtime": 1.3837,
+      "eval_samples_per_second": 158.272,
+      "eval_steps_per_second": 20.236,
       "step": 225
     },
     {
       "epoch": 11.22,
       "learning_rate": 2.361111111111111e-05,
-      "loss": 0.2252,
+      "loss": 0.2672,
       "step": 230
     },
     {
       "epoch": 11.71,
       "learning_rate": 2.2222222222222223e-05,
-      "loss": 0.2054,
+      "loss": 0.2639,
       "step": 240
     },
     {
       "epoch": 12.0,
-      "eval_accuracy": 0.7579908675799086,
-      "eval_loss": 0.6840118169784546,
-      "eval_runtime": 1.3302,
-      "eval_samples_per_second": 164.638,
-      "eval_steps_per_second": 21.05,
+      "eval_accuracy": 0.776255707762557,
+      "eval_loss": 0.5725071430206299,
+      "eval_runtime": 1.3678,
+      "eval_samples_per_second": 160.117,
+      "eval_steps_per_second": 20.472,
       "step": 246
     },
     {
       "epoch": 12.2,
       "learning_rate": 2.0833333333333336e-05,
-      "loss": 0.2086,
+      "loss": 0.2627,
       "step": 250
     },
     {
       "epoch": 12.68,
       "learning_rate": 1.9444444444444445e-05,
-      "loss": 0.2036,
+      "loss": 0.2847,
       "step": 260
     },
     {
       "epoch": 12.98,
-      "eval_accuracy": 0.7671232876712328,
-      "eval_loss": 0.6957961320877075,
-      "eval_runtime": 1.4578,
-      "eval_samples_per_second": 150.225,
-      "eval_steps_per_second": 19.207,
+      "eval_accuracy": 0.771689497716895,
+      "eval_loss": 0.6279605031013489,
+      "eval_runtime": 1.3676,
+      "eval_samples_per_second": 160.133,
+      "eval_steps_per_second": 20.474,
       "step": 266
     },
     {
       "epoch": 13.17,
       "learning_rate": 1.8055555555555555e-05,
-      "loss": 0.2218,
+      "loss": 0.2534,
       "step": 270
     },
     {
       "epoch": 13.66,
       "learning_rate": 1.6666666666666667e-05,
-      "loss": 0.1741,
+      "loss": 0.25,
       "step": 280
     },
     {
       "epoch": 14.0,
-      "eval_accuracy": 0.7808219178082192,
-      "eval_loss": 0.7600917220115662,
-      "eval_runtime": 1.3044,
-      "eval_samples_per_second": 167.897,
-      "eval_steps_per_second": 21.466,
+      "eval_accuracy": 0.771689497716895,
+      "eval_loss": 0.5975117683410645,
+      "eval_runtime": 1.3451,
+      "eval_samples_per_second": 162.816,
+      "eval_steps_per_second": 20.817,
       "step": 287
     },
     {
       "epoch": 14.15,
       "learning_rate": 1.527777777777778e-05,
-      "loss": 0.2659,
+      "loss": 0.3332,
       "step": 290
     },
     {
       "epoch": 14.63,
       "learning_rate": 1.388888888888889e-05,
-      "loss": 0.1942,
+      "loss": 0.2472,
       "step": 300
     },
     {
       "epoch": 14.98,
-      "eval_accuracy": 0.7579908675799086,
-      "eval_loss": 0.6602633595466614,
-      "eval_runtime": 1.2997,
-      "eval_samples_per_second": 168.495,
-      "eval_steps_per_second": 21.543,
+      "eval_accuracy": 0.7671232876712328,
+      "eval_loss": 0.5821006894111633,
+      "eval_runtime": 1.3394,
+      "eval_samples_per_second": 163.506,
+      "eval_steps_per_second": 20.905,
       "step": 307
     },
     {
       "epoch": 15.12,
       "learning_rate": 1.25e-05,
-      "loss": 0.1838,
+      "loss": 0.2185,
       "step": 310
     },
     {
       "epoch": 15.61,
       "learning_rate": 1.1111111111111112e-05,
-      "loss": 0.1476,
+      "loss": 0.1676,
       "step": 320
     },
     {
       "epoch": 16.0,
-      "eval_accuracy": 0.771689497716895,
-      "eval_loss": 0.6880048513412476,
-      "eval_runtime": 1.2904,
-      "eval_samples_per_second": 169.721,
-      "eval_steps_per_second": 21.699,
+      "eval_accuracy": 0.7625570776255708,
+      "eval_loss": 0.6456273198127747,
+      "eval_runtime": 1.3379,
+      "eval_samples_per_second": 163.684,
+      "eval_steps_per_second": 20.928,
       "step": 328
     },
     {
       "epoch": 16.1,
       "learning_rate": 9.722222222222223e-06,
-      "loss": 0.1378,
+      "loss": 0.1898,
       "step": 330
     },
     {
       "epoch": 16.59,
       "learning_rate": 8.333333333333334e-06,
-      "loss": 0.1003,
+      "loss": 0.1327,
       "step": 340
     },
     {
       "epoch": 16.98,
       "eval_accuracy": 0.7671232876712328,
-      "eval_loss": 0.7685455083847046,
-      "eval_runtime": 1.2949,
-      "eval_samples_per_second": 169.127,
-      "eval_steps_per_second": 21.624,
+      "eval_loss": 0.6117277145385742,
+      "eval_runtime": 1.3936,
+      "eval_samples_per_second": 157.15,
+      "eval_steps_per_second": 20.092,
       "step": 348
     },
     {
       "epoch": 17.07,
       "learning_rate": 6.944444444444445e-06,
-      "loss": 0.1413,
+      "loss": 0.2238,
       "step": 350
     },
     {
       "epoch": 17.56,
       "learning_rate": 5.555555555555556e-06,
-      "loss": 0.1442,
+      "loss": 0.1977,
       "step": 360
     },
     {
       "epoch": 18.0,
-      "eval_accuracy": 0.7579908675799086,
-      "eval_loss": 0.7571044564247131,
-      "eval_runtime": 1.3053,
-      "eval_samples_per_second": 167.783,
-      "eval_steps_per_second": 21.452,
+      "eval_accuracy": 0.7488584474885844,
+      "eval_loss": 0.6987997889518738,
+      "eval_runtime": 1.3339,
+      "eval_samples_per_second": 164.179,
+      "eval_steps_per_second": 20.991,
       "step": 369
     },
     {
       "epoch": 18.05,
       "learning_rate": 4.166666666666667e-06,
-      "loss": 0.2224,
+      "loss": 0.3006,
       "step": 370
     },
     {
       "epoch": 18.54,
       "learning_rate": 2.777777777777778e-06,
-      "loss": 0.0856,
+      "loss": 0.1602,
       "step": 380
     },
     {
       "epoch": 18.98,
       "eval_accuracy": 0.7671232876712328,
-      "eval_loss": 0.7322223782539368,
-      "eval_runtime": 1.2928,
-      "eval_samples_per_second": 169.4,
-      "eval_steps_per_second": 21.658,
+      "eval_loss": 0.6448192000389099,
+      "eval_runtime": 1.3619,
+      "eval_samples_per_second": 160.799,
+      "eval_steps_per_second": 20.559,
       "step": 389
     },
     {
       "epoch": 19.02,
       "learning_rate": 1.388888888888889e-06,
-      "loss": 0.168,
+      "loss": 0.231,
       "step": 390
     },
     {
       "epoch": 19.51,
       "learning_rate": 0.0,
-      "loss": 0.1342,
+      "loss": 0.1785,
       "step": 400
     },
     {
       "epoch": 19.51,
-      "eval_accuracy": 0.7671232876712328,
-      "eval_loss": 0.7277530431747437,
-      "eval_runtime": 1.5659,
-      "eval_samples_per_second": 139.856,
-      "eval_steps_per_second": 17.881,
+      "eval_accuracy": 0.771689497716895,
+      "eval_loss": 0.633254885673523,
+      "eval_runtime": 1.3431,
+      "eval_samples_per_second": 163.06,
+      "eval_steps_per_second": 20.848,
       "step": 400
     },
     {
       "epoch": 19.51,
       "step": 400,
       "total_flos": 3.167575685961523e+17,
-      "train_loss": 0.20977047681808472,
-      "train_runtime": 269.1243,
-      "train_samples_per_second": 48.528,
-      "train_steps_per_second": 1.486
+      "train_loss": 0.4159336131811142,
+      "train_runtime": 271.0168,
+      "train_samples_per_second": 48.189,
+      "train_steps_per_second": 1.476
     }
   ],
   "logging_steps": 10,