End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5552
+- Loss: 0.5570
 - Accuracy: 0.8630
 
 ## Model description

all_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 119.00833333333334,
-    "eval_accuracy": 0.514367816091954,
-    "eval_loss": 1.998863697052002,
-    "eval_runtime": 148.8403,
-    "eval_samples_per_second": 9.352,
-    "eval_steps_per_second": 0.148
+    "eval_accuracy": 0.8629629629629629,
+    "eval_loss": 0.557027280330658,
+    "eval_runtime": 58.3366,
+    "eval_samples_per_second": 4.628,
+    "eval_steps_per_second": 0.086
 }

runs/Jan20_13-17-28_GAN-SVR/events.out.tfevents.1737436793.GAN-SVR.864097.5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f959b61c2a46f231b1967fd78e16a2f709834aff9102f3f140a735dbd075dcf4
-size 411
+oid sha256:8adc3f634e8e437f65aac36702db15c77d69e2dcffc32b801a723e95b71621c7
+size 734

test_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 119.00833333333334,
-    "eval_accuracy": 0.514367816091954,
-    "eval_loss": 1.998863697052002,
-    "eval_runtime": 148.8403,
-    "eval_samples_per_second": 9.352,
-    "eval_steps_per_second": 0.148
+    "eval_accuracy": 0.8629629629629629,
+    "eval_loss": 0.557027280330658,
+    "eval_runtime": 58.3366,
+    "eval_samples_per_second": 4.628,
+    "eval_steps_per_second": 0.086
 }