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: 0.5559
-- Accuracy: 0.8529
+- Loss: 0.5545
+- Accuracy: 0.9
 
 ## Model description
 
@@ -51,9 +51,22 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch    | Step | Validation Loss | Accuracy |
 |:-------------:|:--------:|:----:|:---------------:|:--------:|
-| 0.9168        | 55.0031  | 500  | 1.1491          | 0.5294   |
-| 0.3827        | 111.0006 | 1000 | 0.7479          | 0.8235   |
-| 0.0043        | 166.0037 | 1500 | 0.5559          | 0.8529   |
+| 1.6621        | 11.0006  | 100  | 1.6555          | 0.2      |
+| 1.6996        | 22.0012  | 200  | 1.5660          | 0.4167   |
+| 0.886         | 33.0019  | 300  | 1.4698          | 0.4167   |
+| 0.6728        | 44.0025  | 400  | 0.7168          | 0.7833   |
+| 0.1659        | 55.0031  | 500  | 1.3954          | 0.6667   |
+| 0.1471        | 66.0037  | 600  | 1.7320          | 0.6      |
+| 0.0085        | 77.0044  | 700  | 1.4034          | 0.7333   |
+| 0.0613        | 88.005   | 800  | 1.1479          | 0.7      |
+| 0.1256        | 99.0056  | 900  | 1.3657          | 0.7      |
+| 0.194         | 111.0006 | 1000 | 1.0879          | 0.7      |
+| 0.1336        | 122.0012 | 1100 | 0.9304          | 0.8      |
+| 0.0605        | 133.0019 | 1200 | 0.6773          | 0.85     |
+| 0.0025        | 144.0025 | 1300 | 0.7631          | 0.7833   |
+| 0.0016        | 155.0031 | 1400 | 0.4629          | 0.9167   |
+| 0.1698        | 166.0037 | 1500 | 0.5422          | 0.9167   |
+| 0.0011        | 177.0044 | 1600 | 0.5545          | 0.9      |
 
 
 ### Framework versions