update model card README.md

README.md

@@ -16,8 +16,8 @@ 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: 2.0826
-- Accuracy: 0.2857
+- Loss: 1.6497
+- Accuracy: 0.4464
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.5903        | 0.1   | 112  | 2.6088          | 0.1786   |
-| 2.6601        | 1.1   | 224  | 2.5615          | 0.1607   |
-| 2.4655        | 2.1   | 336  | 2.5246          | 0.1607   |
-| 2.3794        | 3.1   | 448  | 2.3304          | 0.25     |
-| 2.5091        | 4.1   | 560  | 2.4640          | 0.1964   |
-| 2.0602        | 5.1   | 672  | 2.0734          | 0.2857   |
-| 1.4873        | 6.1   | 784  | 1.9746          | 0.3929   |
-| 1.3409        | 7.1   | 896  | 2.1593          | 0.25     |
-| 1.5779        | 8.1   | 1008 | 2.0611          | 0.3393   |
-| 1.4423        | 9.09  | 1110 | 2.0826          | 0.2857   |
+| 2.6811        | 0.1   | 112  | 2.6770          | 0.0536   |
+| 2.5749        | 1.1   | 224  | 2.5443          | 0.1607   |
+| 2.5502        | 2.1   | 336  | 2.3254          | 0.1786   |
+| 2.2348        | 3.1   | 448  | 2.1844          | 0.3214   |
+| 1.8674        | 4.1   | 560  | 2.0689          | 0.375    |
+| 1.9905        | 5.1   | 672  | 2.2431          | 0.2679   |
+| 1.3901        | 6.1   | 784  | 1.7099          | 0.3929   |
+| 1.6569        | 7.1   | 896  | 1.6179          | 0.4821   |
+| 1.3572        | 8.1   | 1008 | 1.7215          | 0.4286   |
+| 0.8182        | 9.09  | 1110 | 1.6497          | 0.4464   |
 
 
 ### Framework versions