Model save

README.md

@@ -17,7 +17,7 @@ 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: 2.9000
+- Loss: 2.8934
 - Accuracy: 0.1429
 
 ## Model description
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.4591        | 0.33  | 21   | 2.9638          | 0.0952   |
-| 3.0915        | 1.33  | 42   | 2.9362          | 0.1429   |
-| 3.007         | 2.33  | 63   | 2.9000          | 0.1429   |
+| 3.4317        | 0.33  | 21   | 2.9835          | 0.0952   |
+| 3.2385        | 1.33  | 42   | 2.9287          | 0.1429   |
+| 3.0757        | 2.33  | 63   | 2.8934          | 0.1429   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6405465197b01905e94a8bcce81aa70c9663af46c54689ebfe5a636a01723d42
+oid sha256:ced67530140af33ea9369f5d41fd9c7c9b9f9b971bb88d490cd4dc7e23182e4a
 size 345031733