End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-cifar100-cifar100
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown 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 cifar100 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2955
 - Accuracy: 0.9241

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9241333333333334,
+    "eval_loss": 0.2954551577568054,
+    "eval_runtime": 121.8517,
+    "eval_samples_per_second": 61.55,
+    "eval_steps_per_second": 7.698,
+    "total_flos": 1.64815115092992e+19,
+    "train_loss": 1.1898613937197713,
+    "train_runtime": 10288.1641,
+    "train_samples_per_second": 20.655,
+    "train_steps_per_second": 2.582
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9241333333333334,
+    "eval_loss": 0.2954551577568054,
+    "eval_runtime": 121.8517,
+    "eval_samples_per_second": 61.55,
+    "eval_steps_per_second": 7.698
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "total_flos": 1.64815115092992e+19,
+    "train_loss": 1.1898613937197713,
+    "train_runtime": 10288.1641,
+    "train_samples_per_second": 20.655,
+    "train_steps_per_second": 2.582
+}