🍻 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
@@ -23,7 +24,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8494423791821561
+      value: 0.8828996282527881
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +32,10 @@ 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 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: 0.3989
-- Accuracy: 0.8494
+- Loss: 0.3411
+- Accuracy: 0.8829
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 10.0,
-    "eval_accuracy": 0.8159851301115242,
-    "eval_loss": 0.4577201008796692,
-    "eval_runtime": 39.5349,
-    "eval_samples_per_second": 13.608,
-    "eval_steps_per_second": 1.72,
+    "eval_accuracy": 0.8828996282527881,
+    "eval_loss": 0.3411438763141632,
+    "eval_runtime": 36.6063,
+    "eval_samples_per_second": 14.697,
+    "eval_steps_per_second": 1.858,
     "total_flos": 2.3588561638681805e+18,
-    "train_loss": 0.6660665354183563,
-    "train_runtime": 3972.9927,
-    "train_samples_per_second": 7.662,
-    "train_steps_per_second": 3.831
+    "train_loss": 0.47118197327061173,
+    "train_runtime": 3403.7531,
+    "train_samples_per_second": 8.943,
+    "train_steps_per_second": 2.236
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 10.0,
-    "eval_accuracy": 0.8159851301115242,
-    "eval_loss": 0.4577201008796692,
-    "eval_runtime": 39.5349,
-    "eval_samples_per_second": 13.608,
-    "eval_steps_per_second": 1.72
+    "eval_accuracy": 0.8828996282527881,
+    "eval_loss": 0.3411438763141632,
+    "eval_runtime": 36.6063,
+    "eval_samples_per_second": 14.697,
+    "eval_steps_per_second": 1.858
 }

runs/Oct02_15-48-20_dcbb13f74eeb/events.out.tfevents.1727887613.dcbb13f74eeb.1604.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc6d6b49c5e4e88f78ae44387a86e46891e5ab5aead75b25bb58b642c384dd60
+size 411

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 10.0,
     "total_flos": 2.3588561638681805e+18,
-    "train_loss": 0.6660665354183563,
-    "train_runtime": 3972.9927,
-    "train_samples_per_second": 7.662,
-    "train_steps_per_second": 3.831
+    "train_loss": 0.47118197327061173,
+    "train_runtime": 3403.7531,
+    "train_samples_per_second": 8.943,
+    "train_steps_per_second": 2.236
 }