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videomae-base-finetuned-ucf101-subset

Video Classification

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zhenligod commited on Feb 2, 2023

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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: 0.8818
-- Accuracy: 0.7012
 ## Model description
@@ -49,10 +49,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.1549        | 0.26  | 38   | 2.0454          | 0.3289   |
-| 1.153         | 1.26  | 76   | 1.4140          | 0.5526   |
-| 0.6531        | 2.26  | 114  | 1.0039          | 0.6053   |
-| 0.442         | 3.23  | 148  | 0.7882          | 0.8421   |
 ### 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: 0.5278
+- Accuracy: 0.7935
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.1711        | 0.26  | 38   | 1.7583          | 0.5143   |
+| 0.8671        | 1.26  | 76   | 0.8746          | 0.7714   |
+| 0.5099        | 2.26  | 114  | 0.5396          | 0.8143   |
+| 0.3309        | 3.23  | 148  | 0.4273          | 0.8857   |
 ### Framework versions