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: 0.3586
-- Accuracy: 0.8333
+- Loss: 0.5665
+- Accuracy: 0.75
 
 ## Model description
 
@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.0527        | 1.0    | 13   | 1.0252          | 0.5833   |
-| 0.6937        | 2.0    | 26   | 0.5850          | 0.8333   |
-| 0.4002        | 3.0    | 39   | 0.5491          | 0.6667   |
-| 0.216         | 4.0    | 52   | 0.4196          | 0.8333   |
-| 0.0978        | 5.0    | 65   | 0.3843          | 0.9167   |
-| 0.0927        | 6.0    | 78   | 0.2893          | 0.9167   |
-| 0.0588        | 7.0    | 91   | 0.3516          | 0.8333   |
-| 0.0588        | 7.3846 | 96   | 0.3586          | 0.8333   |
+| 1.018         | 1.0    | 13   | 0.9591          | 0.5      |
+| 0.8837        | 2.0    | 26   | 1.0248          | 0.5833   |
+| 0.7304        | 3.0    | 39   | 0.9565          | 0.5      |
+| 0.6652        | 4.0    | 52   | 0.7661          | 0.5833   |
+| 0.4719        | 5.0    | 65   | 0.9185          | 0.6667   |
+| 0.5202        | 6.0    | 78   | 0.7269          | 0.6667   |
+| 0.3601        | 7.0    | 91   | 0.5654          | 0.75     |
+| 0.3601        | 7.3846 | 96   | 0.5665          | 0.75     |
 
 
 ### Framework versions