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-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2538
-- Accuracy: 0.9
+- Loss: 0.1923
+- Accuracy: 0.9286
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5736        | 0.25  | 150  | 1.4544          | 0.4429   |
-| 0.6422        | 1.25  | 300  | 0.6985          | 0.6857   |
-| 0.0978        | 2.25  | 450  | 0.2436          | 0.8857   |
-| 0.2305        | 3.25  | 600  | 0.2538          | 0.9      |
+| 1.4714        | 0.25  | 150  | 1.3539          | 0.4429   |
+| 0.6439        | 1.25  | 300  | 0.9757          | 0.5857   |
+| 0.2072        | 2.25  | 450  | 0.2924          | 0.9286   |
+| 0.1924        | 3.25  | 600  | 0.1923          | 0.9286   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7897dd1ce22105d5dae5eb3af6470d181281de213c04938307969930c4978e12
+oid sha256:86dbf1ca4f74ff83bdb7997d64bc576acfaa6ab6d5a549d404ef8556fdd7c90d
 size 344999245