🍻 cheers

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ryan_model2
 
-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 None 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 beans dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3649
-- Accuracy: 0.7100
+- Loss: 0.7611
+- Accuracy: 0.6954
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.6954008544860518,
+    "eval_loss": 0.7611498236656189,
+    "eval_runtime": 299.1127,
+    "eval_samples_per_second": 13.303,
+    "eval_steps_per_second": 1.665,
+    "total_flos": 1.0686218494944707e+19,
+    "train_loss": 0.43570722407227047,
+    "train_runtime": 41571.7396,
+    "train_samples_per_second": 3.317,
+    "train_steps_per_second": 0.207
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.6954008544860518,
+    "eval_loss": 0.7611498236656189,
+    "eval_runtime": 299.1127,
+    "eval_samples_per_second": 13.303,
+    "eval_steps_per_second": 1.665
+}

runs/Mar26_00-50-38_ryanserver/events.out.tfevents.1711470541.ryanserver

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:136ce31023e1f301aa7defc8fc1a2ce7ec5482e1a9f620a2667985c96619b81b
+size 40

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 1.0686218494944707e+19,
+    "train_loss": 0.43570722407227047,
+    "train_runtime": 41571.7396,
+    "train_samples_per_second": 3.317,
+    "train_steps_per_second": 0.207
+}