End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8777777777777778
+      value: 0.8111111111111111
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Shk4/swin-tiny-patch4-window7-224-finetuned-eurosat](https://huggingface.co/Shk4/swin-tiny-patch4-window7-224-finetuned-eurosat) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7553
-- Accuracy: 0.8778
+- Loss: 0.4766
+- Accuracy: 0.8111
 
 ## Model description
 
@@ -62,14 +62,17 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9231 | 3    | 0.8851          | 0.8333   |
-| No log        | 1.8462 | 6    | 0.7553          | 0.8778   |
+| No log        | 0.9231 | 3    | 0.6451          | 0.6889   |
+| No log        | 1.8462 | 6    | 0.5572          | 0.6444   |
+| No log        | 2.7692 | 9    | 0.4766          | 0.8111   |
+| 0.6714        | 4.0    | 13   | 0.4629          | 0.6444   |
+| 0.6714        | 4.6154 | 15   | 0.4618          | 0.6444   |
 
 
 ### Framework versions

all_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 1.8461538461538463,
-    "eval_accuracy": 0.8777777777777778,
-    "eval_loss": 0.7553074359893799,
-    "eval_runtime": 0.5561,
-    "eval_samples_per_second": 161.84,
-    "eval_steps_per_second": 3.596
+    "epoch": 4.615384615384615,
+    "eval_accuracy": 0.8111111111111111,
+    "eval_loss": 0.47655045986175537,
+    "eval_runtime": 0.5645,
+    "eval_samples_per_second": 159.42,
+    "eval_steps_per_second": 3.543
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 1.8461538461538463,
-    "eval_accuracy": 0.8777777777777778,
-    "eval_loss": 0.7553074359893799,
-    "eval_runtime": 0.5561,
-    "eval_samples_per_second": 161.84,
-    "eval_steps_per_second": 3.596
+    "epoch": 4.615384615384615,
+    "eval_accuracy": 0.8111111111111111,
+    "eval_loss": 0.47655045986175537,
+    "eval_runtime": 0.5645,
+    "eval_samples_per_second": 159.42,
+    "eval_steps_per_second": 3.543
 }

model.safetensors

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runs/Dec15_10-15-20_8210a324dc5d/events.out.tfevents.1734257721.8210a324dc5d.23.8

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runs/Dec15_10-15-20_8210a324dc5d/events.out.tfevents.1734257774.8210a324dc5d.23.9

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