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: 0.2576
-- Accuracy: 0.8714
+- Loss: 0.2344
+- Accuracy: 0.9143
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7864        | 0.25  | 75   | 1.3372          | 0.6857   |
-| 0.8715        | 1.25  | 150  | 0.5965          | 0.7714   |
-| 0.3832        | 2.25  | 225  | 0.3993          | 0.8429   |
-| 0.2805        | 3.25  | 300  | 0.2576          | 0.8714   |
+| 1.7279        | 0.25  | 75   | 1.3109          | 0.5857   |
+| 1.0543        | 1.25  | 150  | 0.5988          | 0.8143   |
+| 0.3549        | 2.25  | 225  | 0.3976          | 0.8143   |
+| 0.2314        | 3.25  | 300  | 0.2344          | 0.9143   |
 
 
 ### Framework versions