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: 0.4732
-- Accuracy: 0.8429
+- Loss: 0.8147
+- Accuracy: 0.7714
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6898        | 0.52  | 75   | 0.7154          | 0.7429   |
-| 0.4235        | 1.48  | 144  | 0.4732          | 0.8429   |
+| 1.698         | 0.52  | 75   | 1.2235          | 0.6286   |
+| 0.6217        | 1.48  | 144  | 0.8147          | 0.7714   |
 
 
 ### Framework versions