End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.36363636363636365
+      value: 0.8181818181818182
 ---
 
 <!-- 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: 0.7712
-- Accuracy: 0.3636
+- Loss: 0.6673
+- Accuracy: 0.8182
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 2.77,
-    "eval_accuracy": 0.8,
-    "eval_loss": 0.7878170609474182,
-    "eval_runtime": 0.4051,
-    "eval_samples_per_second": 111.087,
-    "eval_steps_per_second": 4.937,
-    "total_flos": 2.808805237991424e+16,
-    "train_loss": 0.8973487218221029,
-    "train_runtime": 41.4937,
-    "train_samples_per_second": 29.282,
-    "train_steps_per_second": 0.217
+    "epoch": 2.0,
+    "eval_accuracy": 0.8181818181818182,
+    "eval_loss": 0.6672640442848206,
+    "eval_runtime": 0.2226,
+    "eval_samples_per_second": 49.416,
+    "eval_steps_per_second": 4.492,
+    "total_flos": 4722637907312640.0,
+    "train_loss": 0.3178947369257609,
+    "train_runtime": 18.3218,
+    "train_samples_per_second": 15.555,
+    "train_steps_per_second": 0.164
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 2.77,
-    "eval_accuracy": 0.8,
-    "eval_loss": 0.7878170609474182,
-    "eval_runtime": 0.4051,
-    "eval_samples_per_second": 111.087,
-    "eval_steps_per_second": 4.937
+    "epoch": 2.0,
+    "eval_accuracy": 0.8181818181818182,
+    "eval_loss": 0.6672640442848206,
+    "eval_runtime": 0.2226,
+    "eval_samples_per_second": 49.416,
+    "eval_steps_per_second": 4.492
 }

runs/Nov15_16-52-21_842987acb68e/events.out.tfevents.1700067175.842987acb68e.893.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7686523b9ffebdb53bb7789d5e8ed13d18459bc09013764f9535c00f8763d07f
+size 405

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 2.77,
-    "total_flos": 2.808805237991424e+16,
-    "train_loss": 0.8973487218221029,
-    "train_runtime": 41.4937,
-    "train_samples_per_second": 29.282,
-    "train_steps_per_second": 0.217
+    "epoch": 2.0,
+    "total_flos": 4722637907312640.0,
+    "train_loss": 0.3178947369257609,
+    "train_runtime": 18.3218,
+    "train_samples_per_second": 15.555,
+    "train_steps_per_second": 0.164
 }

trainer_state.json

@@ -1,55 +1,46 @@
 {
-  "best_metric": 0.8,
-  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-3",
-  "epoch": 2.769230769230769,
+  "best_metric": 0.8181818181818182,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-1",
+  "epoch": 2.0,
   "eval_steps": 500,
-  "global_step": 9,
+  "global_step": 3,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 0.92,
-      "eval_accuracy": 0.8,
-      "eval_loss": 0.7878170609474182,
-      "eval_runtime": 0.4406,
-      "eval_samples_per_second": 102.122,
-      "eval_steps_per_second": 4.539,
-      "step": 3
-    },
-    {
-      "epoch": 1.85,
-      "eval_accuracy": 0.6888888888888889,
-      "eval_loss": 0.7482559084892273,
-      "eval_runtime": 0.4147,
-      "eval_samples_per_second": 108.499,
-      "eval_steps_per_second": 4.822,
-      "step": 6
+      "epoch": 1.0,
+      "eval_accuracy": 0.8181818181818182,
+      "eval_loss": 0.6672640442848206,
+      "eval_runtime": 0.2721,
+      "eval_samples_per_second": 40.427,
+      "eval_steps_per_second": 3.675,
+      "step": 1
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     {
-      "epoch": 2.77,
-      "eval_accuracy": 0.5777777777777777,
-      "eval_loss": 0.7685946226119995,
-      "eval_runtime": 0.6085,
-      "eval_samples_per_second": 73.948,
-      "eval_steps_per_second": 3.287,
-      "step": 9
+      "epoch": 2.0,
+      "eval_accuracy": 0.36363636363636365,
+      "eval_loss": 0.7712066769599915,
+      "eval_runtime": 0.1415,
+      "eval_samples_per_second": 77.763,
+      "eval_steps_per_second": 7.069,
+      "step": 3
     },
     {
-      "epoch": 2.77,
-      "step": 9,
-      "total_flos": 2.808805237991424e+16,
-      "train_loss": 0.8973487218221029,
-      "train_runtime": 41.4937,
-      "train_samples_per_second": 29.282,
-      "train_steps_per_second": 0.217
+      "epoch": 2.0,
+      "step": 3,
+      "total_flos": 4722637907312640.0,
+      "train_loss": 0.3178947369257609,
+      "train_runtime": 18.3218,
+      "train_samples_per_second": 15.555,
+      "train_steps_per_second": 0.164
     }
   ],
   "logging_steps": 10,
-  "max_steps": 9,
+  "max_steps": 3,
   "num_train_epochs": 3,
   "save_steps": 500,
-  "total_flos": 2.808805237991424e+16,
+  "total_flos": 4722637907312640.0,
   "trial_name": null,
   "trial_params": null
 }