End of training

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: 1.6608
-- Accuracy: 0.5714
+- Loss: 0.4732
+- Accuracy: 0.8429
 
 ## Model description
 
@@ -44,13 +44,14 @@ 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: 72
+- training_steps: 144
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9623        | 1.0   | 72   | 1.6608          | 0.5714   |
+| 0.6898        | 0.52  | 75   | 0.7154          | 0.7429   |
+| 0.4235        | 1.48  | 144  | 0.4732          | 0.8429   |
 
 
 ### Framework versions