End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9374164215030757
+      value: 0.9360791655522868
 ---
 
 <!-- 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: 0.1720
-- Accuracy: 0.9374
+- Loss: 0.1770
+- Accuracy: 0.9361
 
 ## Model description
 

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.99,
+    "eval_accuracy": 0.9360791655522868,
+    "eval_loss": 0.17697949707508087,
+    "eval_runtime": 156.6265,
+    "eval_samples_per_second": 23.872,
+    "eval_steps_per_second": 1.494
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.99,
+    "eval_accuracy": 0.9360791655522868,
+    "eval_loss": 0.17697949707508087,
+    "eval_runtime": 156.6265,
+    "eval_samples_per_second": 23.872,
+    "eval_steps_per_second": 1.494
+}

runs/Nov10_16-53-18_n8u5x3py35/events.out.tfevents.1699648884.n8u5x3py35.1142.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6eb831bdf88544a80a4202f344bc28429a359f26a6711ed2348859f40f9a257a
+size 363