🍻 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
 datasets:
 - imagefolder
@@ -15,7 +16,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: indian_food_images
       type: imagefolder
       config: default
       split: train
@@ -31,9 +32,9 @@ 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 the imagefolder 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: 0.2076
+- Loss: 0.1446
 - Accuracy: 0.9524
 
 ## Model description

all_results.json

@@ -1,13 +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
+    "epoch": 20.0,
+    "eval_accuracy": 0.9523809523809523,
+    "eval_loss": 0.1445566862821579,
+    "eval_runtime": 1.5904,
+    "eval_samples_per_second": 13.204,
+    "eval_steps_per_second": 1.886,
+    "total_flos": 1.8288109549043712e+17,
+    "train_loss": 0.18390971183776855,
+    "train_runtime": 151.0028,
+    "train_samples_per_second": 15.629,
+    "train_steps_per_second": 1.987
 }

eval_results.json

@@ -1,8 +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
+    "epoch": 20.0,
+    "eval_accuracy": 0.9523809523809523,
+    "eval_loss": 0.1445566862821579,
+    "eval_runtime": 1.5904,
+    "eval_samples_per_second": 13.204,
+    "eval_steps_per_second": 1.886
 }

runs/Oct01_10-42-26_a59caee1d103/events.out.tfevents.1727779614.a59caee1d103.4704.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:426a3bcce56d031c7db6e0e093bd3199dfa4aafd9fb6ef59ed119b6d59db70ba
+size 411

train_results.json

@@ -1,8 +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
+    "epoch": 20.0,
+    "total_flos": 1.8288109549043712e+17,
+    "train_loss": 0.18390971183776855,
+    "train_runtime": 151.0028,
+    "train_samples_per_second": 15.629,
+    "train_steps_per_second": 1.987
 }