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: 0.6847
-- Accuracy: 0.75
+- Loss: 0.0029
+- Accuracy: 1.0
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4618        | 0.2   | 25   | 0.0103          | 1.0      |
-| 0.3548        | 1.2   | 50   | 0.0029          | 1.0      |
-| 0.2182        | 2.2   | 75   | 0.0009          | 1.0      |
-| 0.2513        | 3.2   | 100  | 0.0033          | 1.0      |
-| 0.0021        | 4.2   | 125  | 0.0008          | 1.0      |
+| 0.6079        | 0.2   | 25   | 0.3069          | 0.9167   |
+| 0.1006        | 1.2   | 50   | 0.0029          | 1.0      |
+| 0.2857        | 2.2   | 75   | 1.6326          | 0.6667   |
+| 0.0044        | 3.2   | 100  | 0.0006          | 1.0      |
+| 0.0007        | 4.2   | 125  | 0.0005          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 344937368

runs/Jul12_17-14-57_38e3c678e4b2/events.out.tfevents.1720805394.38e3c678e4b2.3161.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a9836b098d61d799bb2bfbab33fd464572b9071591b52d274f384b5d75bd06f
+size 722