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: 0.6819
-- Accuracy: 0.6667
+- Loss: 0.5322
+- Accuracy: 0.7812
 
 ## Model description
 
@@ -43,20 +43,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 280
+- training_steps: 120
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7118        | 0.13  | 36   | 0.6814          | 0.5714   |
-| 0.8238        | 1.13  | 72   | 0.6641          | 0.5714   |
-| 0.6892        | 2.13  | 108  | 0.6935          | 0.4762   |
-| 0.7013        | 3.13  | 144  | 0.6819          | 0.6667   |
-| 0.6871        | 4.13  | 180  | 0.6751          | 0.5714   |
-| 0.7159        | 5.13  | 216  | 0.6854          | 0.5238   |
-| 0.6884        | 6.13  | 252  | 0.6735          | 0.6667   |
-| 0.6905        | 7.1   | 280  | 0.6739          | 0.6190   |
+| 0.5824        | 0.25  | 30   | 0.5322          | 0.7812   |
+| 0.6914        | 1.25  | 60   | 0.5260          | 0.7812   |
+| 0.5257        | 2.25  | 90   | 0.5900          | 0.7812   |
+| 0.6191        | 3.25  | 120  | 0.5305          | 0.7812   |
 
 
 ### Framework versions