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2nzi/videomae-surf-analytics-v2
videomae-surf-analytics-v2 is a video classification model from 2nzi. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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.safetensors345 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.3096 | 0.2005 | 371 | 1.3267 | 0.4590 | 0.2888 |
| 1.0586 | 1.2005 | 742 | 1.2866 | 0.5820 | 0.5035 |
| 0.9781 | 2.2005 | 1113 | 0.7952 | 0.7459 | 0.7466 |
| 0.0034 | 3.2005 | 1484 | 0.7218 | 0.8361 | 0.8343 |
| 0.1895 | 4.1978 | 1850 | 0.5544 | 0.8852 | 0.8840 |