End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9888888888888889
+      value: 1.0
 ---
 
 <!-- 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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1128
-- Accuracy: 0.9889
+- Loss: 0.0047
+- Accuracy: 1.0
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 50.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.004692578222602606,
+    "eval_runtime": 1.8369,
+    "eval_samples_per_second": 48.995,
+    "eval_steps_per_second": 6.533,
+    "total_flos": 1.62739012294656e+18,
+    "train_loss": 0.02240182710744973,
+    "train_runtime": 1187.3846,
+    "train_samples_per_second": 17.686,
+    "train_steps_per_second": 4.421
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 50.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.004692578222602606,
+    "eval_runtime": 1.8369,
+    "eval_samples_per_second": 48.995,
+    "eval_steps_per_second": 6.533
+}

runs/Jul31_05-30-27_ip-10-192-12-184/events.out.tfevents.1722405064.ip-10-192-12-184.2220.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80b9f1d284e6b78d4e5e9b400c46426b8013285127952ef1aa71d65df58d44df
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 50.0,
+    "total_flos": 1.62739012294656e+18,
+    "train_loss": 0.02240182710744973,
+    "train_runtime": 1187.3846,
+    "train_samples_per_second": 17.686,
+    "train_steps_per_second": 4.421
+}