End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+trainer_state.json filter=lfs diff=lfs merge=lfs -text

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: 0.3378
+- Loss: 0.3360
 
 ## Model description
 

all_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 800.0,
+    "eval_loss": 0.3360130190849304,
+    "eval_runtime": 63.6007,
+    "eval_samples_per_second": 79.543,
+    "eval_steps_per_second": 9.953,
+    "train_loss": 0.36668021675006923,
+    "train_runtime": 517141.5399,
+    "train_samples_per_second": 44.339,
+    "train_steps_per_second": 5.543
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 800.0,
+    "eval_loss": 0.3360130190849304,
+    "eval_runtime": 63.6007,
+    "eval_samples_per_second": 79.543,
+    "eval_steps_per_second": 9.953
+}

runs/Mar19_21-52-01_ip-172-16-71-114.us-west-2.compute.internal/events.out.tfevents.1711402369.ip-172-16-71-114.us-west-2.compute.internal.1165.1

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+size 369

train_results.json

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+{
+    "epoch": 800.0,
+    "train_loss": 0.36668021675006923,
+    "train_runtime": 517141.5399,
+    "train_samples_per_second": 44.339,
+    "train_steps_per_second": 5.543
+}

trainer_state.json

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