End of training

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
+- masked-auto-encoding
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -17,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4430
+- Loss: 0.4444
 
 ## Model description
 

all_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 200.0,
+    "eval_loss": 0.4444296360015869,
+    "eval_runtime": 43.289,
+    "eval_samples_per_second": 79.674,
+    "eval_steps_per_second": 9.979,
+    "train_loss": 0.513909718911276,
+    "train_runtime": 133465.2589,
+    "train_samples_per_second": 29.286,
+    "train_steps_per_second": 3.661
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 200.0,
+    "eval_loss": 0.4444296360015869,
+    "eval_runtime": 43.289,
+    "eval_samples_per_second": 79.674,
+    "eval_steps_per_second": 9.979
+}

runs/Mar12_04-48-19_ip-172-16-71-114.us-west-2.compute.internal/events.out.tfevents.1710352436.ip-172-16-71-114.us-west-2.compute.internal.18339.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44ea7c1a7c11ec8c5ecdfa98abbbcef5f4a40ec1d0bf05bb30546bd30b9bcde1
+size 364

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 200.0,
+    "train_loss": 0.513909718911276,
+    "train_runtime": 133465.2589,
+    "train_samples_per_second": 29.286,
+    "train_steps_per_second": 3.661
+}