End of training

README.md

@@ -17,7 +17,7 @@ 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: 1.9542
+- Loss: 1.8280
 - Accuracy: 0.2857
 
 ## Model description
@@ -44,14 +44,13 @@ 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: 19
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.407         | 0.5   | 21   | 1.9999          | 0.2143   |
-| 2.016         | 1.5   | 42   | 1.9542          | 0.2857   |
+| 1.9151        | 1.0   | 19   | 1.8280          | 0.2857   |
 
 
 ### Framework versions