End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8329
-- Accuracy: 0.8985
+- Loss: 0.7025
+- Accuracy: 0.8993
 
 ## Model description
 

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 14.07,
+    "eval_accuracy": 0.8992551940415523,
+    "eval_loss": 0.7024816274642944,
+    "eval_runtime": 675.1744,
+    "eval_samples_per_second": 3.778,
+    "eval_steps_per_second": 0.945
+}

runs/Nov03_07-17-57_3fdb11f5fc5e/events.out.tfevents.1699068673.3fdb11f5fc5e.1705.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:284784ff2285188eaf22b752523e13fcf9b1c01a7490ee1b3f9030a4485d18b4
+size 417

test_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 14.07,
+    "eval_accuracy": 0.8992551940415523,
+    "eval_loss": 0.7024816274642944,
+    "eval_runtime": 675.1744,
+    "eval_samples_per_second": 3.778,
+    "eval_steps_per_second": 0.945
+}