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vivit-b-16x2-kinetics400-finetuned-cremad

Video Classification

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Yassmen commited on Jul 18

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@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/yassmenyoussef55-arete-global/huggingface/runs/4jineisc)
 # vivit-b-16x2-kinetics400-finetuned-cremad
-This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1824
 - Accuracy: 0.6575

 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/yassmenyoussef55-arete-global/huggingface/runs/4jineisc)
 # vivit-b-16x2-kinetics400-finetuned-cremad
+This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on CREMA-D dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1824
 - Accuracy: 0.6575