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: 0.7710
-- Accuracy: 0.5942
+- Loss: 0.6256
+- Accuracy: 0.6957
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.0024        | 0.2568 | 38   | 0.8335          | 0.6      |
-| 0.733         | 1.2568 | 76   | 0.7878          | 0.6182   |
-| 0.704         | 2.2568 | 114  | 0.8107          | 0.6182   |
-| 0.5661        | 3.2297 | 148  | 0.7860          | 0.6182   |
+| 0.6924        | 0.2568 | 38   | 0.6671          | 0.5455   |
+| 0.6664        | 1.2568 | 76   | 0.6748          | 0.6182   |
+| 0.5947        | 2.2568 | 114  | 0.6095          | 0.6727   |
+| 0.5049        | 3.2297 | 148  | 0.6915          | 0.6182   |
 
 
 ### Framework versions

model.safetensors

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runs/May13_19-31-28_MSI/events.out.tfevents.1715621490.MSI.14116.0

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runs/May13_19-31-28_MSI/events.out.tfevents.1715627469.MSI.14116.1

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