Model save

README.md

@@ -18,8 +18,8 @@ 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: 0.5119
-- Accuracy: 0.8710
+- Loss: 0.4209
+- Accuracy: 0.8903
 
 ## Model description
 
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 2.1008        | 0.2568 | 38   | 1.8350          | 0.4143   |
-| 0.9279        | 1.2568 | 76   | 1.0199          | 0.7143   |
-| 0.5482        | 2.2568 | 114  | 0.6185          | 0.8      |
-| 0.3476        | 3.2297 | 148  | 0.4015          | 0.9143   |
+| 2.0919        | 0.2568 | 38   | 1.8006          | 0.5286   |
+| 0.9101        | 1.2568 | 76   | 0.9759          | 0.6857   |
+| 0.4855        | 2.2568 | 114  | 0.5223          | 0.8286   |
+| 0.2876        | 3.2297 | 148  | 0.4034          | 0.8857   |
 
 
 ### Framework versions

runs/Oct15_17-32-31_b6767a947022/events.out.tfevents.1729013554.b6767a947022.7949.0

@@ -1,3 +1,3 @@
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-size 9462
+oid sha256:f4c8ccc998e7e81dabdf25c6b7546e96c48dacfe5c292cd329aa207781616fc7
+size 10139

runs/Oct15_17-32-31_b6767a947022/events.out.tfevents.1729013827.b6767a947022.7949.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8560e201cadb4f1af1f532168408bb81279c36f2d398ad9a95b80eb5a62c9ceb
+size 411