End of training

README.md

@@ -32,7 +32,7 @@ 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: 0.3939
+- Loss: 0.3967
 - Accuracy: 1.0
 
 ## Model description

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 8.0,
-    "eval_accuracy": 0.6363636363636364,
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-    "total_flos": 1.968594327679795e+16,
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-    "train_runtime": 665.8425,
-    "train_samples_per_second": 1.64,
-    "train_steps_per_second": 0.018
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.3966529667377472,
+    "eval_runtime": 2.6088,
+    "eval_samples_per_second": 4.217,
+    "eval_steps_per_second": 0.383,
+    "total_flos": 1.809515998170317e+16,
+    "train_loss": 0.27006837725639343,
+    "train_runtime": 613.5218,
+    "train_samples_per_second": 1.78,
+    "train_steps_per_second": 0.02
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 8.0,
-    "eval_accuracy": 0.6363636363636364,
-    "eval_loss": 0.5946542620658875,
-    "eval_runtime": 3.3182,
-    "eval_samples_per_second": 3.315,
-    "eval_steps_per_second": 0.301
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.3966529667377472,
+    "eval_runtime": 2.6088,
+    "eval_samples_per_second": 4.217,
+    "eval_steps_per_second": 0.383
 }

runs/Apr05_03-11-59_0478064d598f/events.out.tfevents.1712287642.0478064d598f.410.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2858c5d7042c359ef6d2415919202983dfbb55ace5e3d09624a9fa851e5670a1
+size 405

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 8.0,
-    "total_flos": 1.968594327679795e+16,
-    "train_loss": 0.3127730538447698,
-    "train_runtime": 665.8425,
-    "train_samples_per_second": 1.64,
-    "train_steps_per_second": 0.018
+    "total_flos": 1.809515998170317e+16,
+    "train_loss": 0.27006837725639343,
+    "train_runtime": 613.5218,
+    "train_samples_per_second": 1.78,
+    "train_steps_per_second": 0.02
 }

trainer_state.json

@@ -1,6 +1,6 @@
 {
-  "best_metric": 0.6363636363636364,
-  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-parkinson-classification/checkpoint-6",
+  "best_metric": 1.0,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-parkinson-classification/checkpoint-11",
   "epoch": 8.0,
   "eval_steps": 500,
   "global_step": 12,
@@ -11,90 +11,90 @@
     {
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-      "eval_runtime": 2.8018,
-      "eval_samples_per_second": 3.926,
-      "eval_steps_per_second": 0.357,
+      "eval_loss": 0.7000523805618286,
+      "eval_runtime": 2.7875,
+      "eval_samples_per_second": 3.946,
+      "eval_steps_per_second": 0.359,
       "step": 1
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     {
       "epoch": 2.0,
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-      "eval_runtime": 2.7817,
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+      "eval_runtime": 3.3697,
+      "eval_samples_per_second": 3.264,
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       "step": 3
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       "epoch": 6.67,
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   "logging_steps": 10,
@@ -102,7 +102,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 12,
   "save_steps": 500,
-  "total_flos": 1.968594327679795e+16,
+  "total_flos": 1.809515998170317e+16,
   "train_batch_size": 32,
   "trial_name": null,
   "trial_params": null