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: 1.1163
-- Accuracy: 0.5143
+- Loss: 2.3446
+- Accuracy: 0.1
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.3596        | 0.25  | 75   | 2.1458          | 0.1857   |
-| 1.6204        | 1.25  | 150  | 1.7995          | 0.2714   |
-| 1.0297        | 2.25  | 225  | 1.3136          | 0.4429   |
-| 0.9667        | 3.25  | 300  | 1.1163          | 0.5143   |
+| 2.2475        | 0.25  | 75   | 2.3641          | 0.1143   |
+| 2.1184        | 1.25  | 150  | 2.2783          | 0.1286   |
+| 2.1325        | 2.25  | 225  | 2.2791          | 0.1      |
+| 1.8812        | 3.25  | 300  | 2.3446          | 0.1      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 344961984

runs/May11_11-56-48_35637bd04918/events.out.tfevents.1715428612.35637bd04918.15826.4

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 version https://git-lfs.github.com/spec/v1
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