🍻 cheers

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-384
+base_model: Zannatul/final_withAug-google-vit-base-patch16-384-in21k-batch_16_epoch_4_classes_24
 tags:
 - image-classification
 - generated_from_trainer
@@ -31,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # google-vit-base-patch16-384-in21k-batch_16_epoch_4_classes_24_final_withAug_12th_May
 
-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.
+This model is a fine-tuned version of [Zannatul/final_withAug-google-vit-base-patch16-384-in21k-batch_16_epoch_4_classes_24](https://huggingface.co/Zannatul/final_withAug-google-vit-base-patch16-384-in21k-batch_16_epoch_4_classes_24) on the bengali_food_images dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0282
 - Accuracy: 0.9905

all_results.json

@@ -2,9 +2,9 @@
     "epoch": 4.0,
     "eval_accuracy": 0.9904891304347826,
     "eval_loss": 0.02818419598042965,
-    "eval_runtime": 37.6338,
-    "eval_samples_per_second": 19.557,
-    "eval_steps_per_second": 2.445,
+    "eval_runtime": 35.6822,
+    "eval_samples_per_second": 20.627,
+    "eval_steps_per_second": 2.578,
     "total_flos": 1.715138644229908e+19,
     "train_loss": 0.04991757846501284,
     "train_runtime": 7931.4156,

eval_results.json

@@ -2,7 +2,7 @@
     "epoch": 4.0,
     "eval_accuracy": 0.9904891304347826,
     "eval_loss": 0.02818419598042965,
-    "eval_runtime": 37.6338,
-    "eval_samples_per_second": 19.557,
-    "eval_steps_per_second": 2.445
+    "eval_runtime": 35.6822,
+    "eval_samples_per_second": 20.627,
+    "eval_steps_per_second": 2.578
 }

runs/May11_19-53-00_9479ebf6a298/events.out.tfevents.1715466479.9479ebf6a298.34.1

@@ -1,3 +1,3 @@
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-size 411
+oid sha256:5eaa683cfdb293a9921d0c0e0be9453525818b12d685746bffbb43e371e8de3e
+size 734