End of training

README.md

@@ -16,7 +16,7 @@ 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: 0.4682
+- Loss: 0.4191
 
 ## Model description
 
@@ -48,10 +48,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 2.1119        | 0.2568 | 38   | 1.9120          |
-| 1.1109        | 1.2568 | 76   | 0.9462          |
-| 0.5405        | 2.2568 | 114  | 0.6334          |
-| 0.3395        | 3.2297 | 148  | 0.4682          |
+| 2.1019        | 0.2568 | 38   | 2.0053          |
+| 1.0928        | 1.2568 | 76   | 0.9771          |
+| 0.5359        | 2.2568 | 114  | 0.6745          |
+| 0.287         | 3.2297 | 148  | 0.4191          |
 
 
 ### Framework versions

runs/Sep24_19-59-01_c301ebeb9c6b/events.out.tfevents.1727207942.c301ebeb9c6b.3822.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6dea139ecaec4e29becf63ad783a56ed3a42199d3e5a9d5a971d972b77b5d8df
-size 9301
+oid sha256:fe7bb02263dc88443dc3e7f00045795fb1e67fcbab7984c0a368d40af4bdc5d9
+size 9926