🍻 cheers

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-384
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -14,7 +15,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: bengali_food_images
       type: imagefolder
       config: default
       split: train
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.978448275862069
+      value: 0.9899425287356322
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # google-vit-base-patch16-384-batch_16_epoch_4_classes_24
 
-This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the bengali_food_images dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0856
-- Accuracy: 0.9784
+- Loss: 0.0635
+- Accuracy: 0.9899
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9899425287356322,
+    "eval_loss": 0.06347225606441498,
+    "eval_runtime": 35.4753,
+    "eval_samples_per_second": 19.619,
+    "eval_steps_per_second": 2.452,
+    "total_flos": 2.099744383597491e+19,
+    "train_loss": 0.053249289760298635,
+    "train_runtime": 10114.0647,
+    "train_samples_per_second": 9.084,
+    "train_steps_per_second": 0.568
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9899425287356322,
+    "eval_loss": 0.06347225606441498,
+    "eval_runtime": 35.4753,
+    "eval_samples_per_second": 19.619,
+    "eval_steps_per_second": 2.452
+}

runs/May14_05-11-55_0f1912269dbc/events.out.tfevents.1715673725.0f1912269dbc.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:592da50143b4b3a0c0cf48a75dd80c0887653d59d45d599e68ed928ba0705dc2
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 2.099744383597491e+19,
+    "train_loss": 0.053249289760298635,
+    "train_runtime": 10114.0647,
+    "train_samples_per_second": 9.084,
+    "train_steps_per_second": 0.568
+}