End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8717948717948718
+      value: 0.8791208791208791
 ---
 
 <!-- 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 [facebook/vit-msn-small](https://huggingface.co/facebook/vit-msn-small) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4172
-- Accuracy: 0.8718
+- Loss: 0.4371
+- Accuracy: 0.8791
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 92.3076923076923,
+    "eval_accuracy": 0.8791208791208791,
+    "eval_loss": 0.4371393620967865,
+    "eval_runtime": 1.1631,
+    "eval_samples_per_second": 234.727,
+    "eval_steps_per_second": 4.299,
+    "total_flos": 1.4722503891660472e+18,
+    "train_loss": 0.3897706772387028,
+    "train_runtime": 753.6703,
+    "train_samples_per_second": 108.137,
+    "train_steps_per_second": 0.796
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 92.3076923076923,
+    "eval_accuracy": 0.8791208791208791,
+    "eval_loss": 0.4371393620967865,
+    "eval_runtime": 1.1631,
+    "eval_samples_per_second": 234.727,
+    "eval_steps_per_second": 4.299
+}

runs/Jan16_16-38-40_d2e708f84219/events.out.tfevents.1737046543.d2e708f84219.310.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8486c60f8e0475f3fff262018b0da3e56804996994fb638867f4114c6c43a9a3
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 92.3076923076923,
+    "total_flos": 1.4722503891660472e+18,
+    "train_loss": 0.3897706772387028,
+    "train_runtime": 753.6703,
+    "train_samples_per_second": 108.137,
+    "train_steps_per_second": 0.796
+}