L1mbo
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videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset

Video Classification

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L1mbo commited on Jan 5, 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 [sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset](https://huggingface.co/sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3943
-- Accuracy: 0.2143
 ## Model description
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.4538        | 1.0   | 36   | 1.3749          | 0.3099   |
 ### Framework versions

 This model is a fine-tuned version of [sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset](https://huggingface.co/sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.4351
+- Accuracy: 0.2727
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6409        | 1.0   | 36   | 1.4351          | 0.2727   |
 ### Framework versions