End of training

README.md

@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8079
+- Loss: 0.8090
 - Accuracy: 0.7133
 
 ## Model description

all_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 20.0,
-    "eval_accuracy": 0.6788575409265064,
-    "eval_loss": 0.8812496662139893,
-    "eval_runtime": 39.1877,
-    "eval_samples_per_second": 73.263,
-    "eval_steps_per_second": 2.297,
-    "total_flos": 4.0029439499828675e+19,
-    "train_loss": 1.115002474690428,
-    "train_runtime": 19507.0594,
-    "train_samples_per_second": 26.491,
-    "train_steps_per_second": 0.207
+    "epoch": 60.0,
+    "eval_accuracy": 0.7133402995471961,
+    "eval_loss": 0.8090488910675049,
+    "eval_runtime": 38.5296,
+    "eval_samples_per_second": 74.514,
+    "eval_steps_per_second": 2.336,
+    "total_flos": 1.2008831849948586e+20,
+    "train_loss": 0.9543137445308194,
+    "train_runtime": 57078.0116,
+    "train_samples_per_second": 27.161,
+    "train_steps_per_second": 0.212
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 20.0,
-    "eval_accuracy": 0.6788575409265064,
-    "eval_loss": 0.8812496662139893,
-    "eval_runtime": 39.1877,
-    "eval_samples_per_second": 73.263,
-    "eval_steps_per_second": 2.297
+    "epoch": 60.0,
+    "eval_accuracy": 0.7133402995471961,
+    "eval_loss": 0.8090488910675049,
+    "eval_runtime": 38.5296,
+    "eval_samples_per_second": 74.514,
+    "eval_steps_per_second": 2.336
 }

runs/Dec27_23-01-07_20bb25bfd9f5/events.out.tfevents.1703775322.20bb25bfd9f5.1122.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc65779868f83e91613b22ba40fb31eba4f82455b4c3862e71d86c761ba3c9a8
+size 1703

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 20.0,
-    "total_flos": 4.0029439499828675e+19,
-    "train_loss": 1.115002474690428,
-    "train_runtime": 19507.0594,
-    "train_samples_per_second": 26.491,
-    "train_steps_per_second": 0.207
+    "epoch": 60.0,
+    "total_flos": 1.2008831849948586e+20,
+    "train_loss": 0.9543137445308194,
+    "train_runtime": 57078.0116,
+    "train_samples_per_second": 27.161,
+    "train_steps_per_second": 0.212
 }