🍻 cheers

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuned-fake-food
 
-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 indian_food_images dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1451
-- Accuracy: 0.9628
+- Loss: 0.1348
+- Accuracy: 0.9563
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9563193698532044,
+    "eval_loss": 0.1347890943288803,
+    "eval_runtime": 27.1015,
+    "eval_samples_per_second": 103.057,
+    "eval_steps_per_second": 12.914,
+    "total_flos": 1.2263107356509184e+19,
+    "train_loss": 0.12599933518755316,
+    "train_runtime": 6423.2981,
+    "train_samples_per_second": 24.637,
+    "train_steps_per_second": 1.541
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9563193698532044,
+    "eval_loss": 0.1347890943288803,
+    "eval_runtime": 27.1015,
+    "eval_samples_per_second": 103.057,
+    "eval_steps_per_second": 12.914
+}

runs/Sep25_16-22-06_c8fcdba35603/events.out.tfevents.1727288218.c8fcdba35603.233.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e61a68d9434344d9cfc9c8f1406e16fcba964523b4ebd8cece687b780e939f6
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "total_flos": 1.2263107356509184e+19,
+    "train_loss": 0.12599933518755316,
+    "train_runtime": 6423.2981,
+    "train_samples_per_second": 24.637,
+    "train_steps_per_second": 1.541
+}