sayakpaul
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videomae-base-finetuned-ucf101-subset

Video Classification

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sayakpaul HF staff commited on Nov 10, 2022

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update model card README.md

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@@ -16,8 +16,8 @@ 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: 0.4559
-- Accuracy: 0.8698
 ## Model description
@@ -49,10 +49,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.1321        | 0.26  | 38   | 1.7063          | 0.5      |
-| 0.7513        | 1.26  | 76   | 0.8875          | 0.6757   |
-| 0.3882        | 2.26  | 114  | 0.4695          | 0.8243   |
-| 0.2671        | 3.23  | 148  | 0.3920          | 0.8243   |
 ### Framework versions

 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: 0.3992
+- Accuracy: 0.8645
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.1374        | 0.26  | 38   | 1.7413          | 0.5714   |
+| 0.7949        | 1.26  | 76   | 0.7747          | 0.8      |
+| 0.4279        | 2.26  | 114  | 0.4053          | 0.9143   |
+| 0.291         | 3.23  | 148  | 0.3429          | 0.9286   |
 ### Framework versions