End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # imagenet2012-1k-subsampling-50-vit-base-patch16-224-in21k
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagenet2012-1k-subsampling-50 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.8563
 - Accuracy: 0.8109

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.8109333333333333,
+    "eval_loss": 0.8562657833099365,
+    "eval_runtime": 30.8471,
+    "eval_samples_per_second": 243.135,
+    "eval_steps_per_second": 30.408,
+    "train_loss": 2.1818104096597004,
+    "train_runtime": 5783.4985,
+    "train_samples_per_second": 73.485,
+    "train_steps_per_second": 9.186
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.8109333333333333,
+    "eval_loss": 0.8562657833099365,
+    "eval_runtime": 30.8471,
+    "eval_samples_per_second": 243.135,
+    "eval_steps_per_second": 30.408
+}

runs/Aug12_21-00-14_kwangryeol-OMEN-30L-Desktop-GT13-1xxx/events.out.tfevents.1723469893.kwangryeol-OMEN-30L-Desktop-GT13-1xxx.547187.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:597312cc3f11b0852e7754e200c1a0dab4d004c56132057bb007cee61d0ca162
+size 417

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 10.0,
+    "train_loss": 2.1818104096597004,
+    "train_runtime": 5783.4985,
+    "train_samples_per_second": 73.485,
+    "train_steps_per_second": 9.186
+}