End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [osmanh/vit-base-patch16-finetuned-EuroSAT](https://huggingface.co/osmanh/vit-base-patch16-finetuned-EuroSAT) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1618
-- Accuracy: 0.9758
+- Loss: 0.2010
+- Accuracy: 0.9662
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
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+    "eval_samples_per_second": 56.772,
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+    "total_flos": 1.922593493780951e+17,
+    "train_loss": 0.23679116139045128,
+    "train_runtime": 141.695,
+    "train_samples_per_second": 17.509,
+    "train_steps_per_second": 0.275
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.966183574879227,
+    "eval_loss": 0.2009962946176529,
+    "eval_runtime": 3.6461,
+    "eval_samples_per_second": 56.772,
+    "eval_steps_per_second": 3.565
+}

runs/Dec02_18-43-21_79449f34b168/events.out.tfevents.1733165171.79449f34b168.401.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:545dbe1b06aa94ce6f3f1e1e391fe40237e763a9b00661fb442a48cd85c28ae5
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
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+    "total_flos": 1.922593493780951e+17,
+    "train_loss": 0.23679116139045128,
+    "train_runtime": 141.695,
+    "train_samples_per_second": 17.509,
+    "train_steps_per_second": 0.275
+}

trainer_state.json

@@ -0,0 +1,90 @@
+{
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+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
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+        "should_evaluate": false,
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+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}