Model save

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: 2.0048
-- Accuracy: 0.3333
+- Loss: 0.1003
+- Accuracy: 0.9722
 
 ## Model description
 
@@ -44,13 +44,22 @@ 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: 42
+- training_steps: 11650
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.1039        | 1.0   | 42   | 2.0048          | 0.3333   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 2.1435        | 0.1   | 1165  | 2.2165          | 0.4536   |
+| 0.8432        | 1.1   | 2330  | 0.7595          | 0.8010   |
+| 0.4293        | 2.1   | 3495  | 0.5219          | 0.8578   |
+| 0.2377        | 3.1   | 4660  | 0.3852          | 0.8972   |
+| 0.1604        | 4.1   | 5825  | 0.2505          | 0.9349   |
+| 0.0418        | 5.1   | 6990  | 0.2070          | 0.9431   |
+| 0.0048        | 6.1   | 8155  | 0.1811          | 0.9520   |
+| 0.0051        | 7.1   | 9320  | 0.1311          | 0.9634   |
+| 0.0012        | 8.1   | 10485 | 0.1096          | 0.9698   |
+| 0.0857        | 9.1   | 11650 | 0.1003          | 0.9722   |
 
 
 ### Framework versions