End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6274509803921569
+      value: 0.6666666666666666
 ---
 
 <!-- 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: 0.8015
-- Accuracy: 0.6275
+- Loss: 0.8665
+- Accuracy: 0.6667
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
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-    "train_runtime": 330.6023,
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-    "train_steps_per_second": 0.027
+    "epoch": 8.0,
+    "eval_accuracy": 0.6666666666666666,
+    "eval_loss": 0.8665360808372498,
+    "eval_runtime": 2.5155,
+    "eval_samples_per_second": 20.275,
+    "eval_steps_per_second": 0.795,
+    "total_flos": 9.008062108390195e+16,
+    "train_loss": 0.8971603870391845,
+    "train_runtime": 472.399,
+    "train_samples_per_second": 9.589,
+    "train_steps_per_second": 0.064
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 2.4,
-    "eval_accuracy": 0.35294117647058826,
-    "eval_loss": 1.0756282806396484,
-    "eval_runtime": 2.4568,
-    "eval_samples_per_second": 20.759,
-    "eval_steps_per_second": 0.814
+    "epoch": 8.0,
+    "eval_accuracy": 0.6666666666666666,
+    "eval_loss": 0.8665360808372498,
+    "eval_runtime": 2.5155,
+    "eval_samples_per_second": 20.275,
+    "eval_steps_per_second": 0.795
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 2.4,
-    "total_flos": 2.7292638507208704e+16,
-    "train_loss": 1.0481688181559246,
-    "train_runtime": 330.6023,
-    "train_samples_per_second": 4.111,
-    "train_steps_per_second": 0.027
+    "epoch": 8.0,
+    "total_flos": 9.008062108390195e+16,
+    "train_loss": 0.8971603870391845,
+    "train_runtime": 472.399,
+    "train_samples_per_second": 9.589,
+    "train_steps_per_second": 0.064
 }

trainer_state.json

@@ -1,55 +1,118 @@
 {
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-  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-7",
-  "epoch": 2.4,
+  "best_metric": 0.6666666666666666,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-15",
+  "epoch": 8.0,
   "eval_steps": 500,
-  "global_step": 9,
+  "global_step": 30,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
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   "logging_steps": 10,
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   "trial_params": null
 }