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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8328
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- - Accuracy: 0.7043
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  ## Model description
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@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.9023 | 0.25 | 745 | 1.0585 | 0.6013 |
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- | 0.9428 | 1.25 | 1490 | 0.8971 | 0.6510 |
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- | 0.4575 | 2.25 | 2235 | 0.7428 | 0.7181 |
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- | 0.3262 | 3.25 | 2976 | 0.7344 | 0.7329 |
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  ### Framework versions
 
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7914
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+ - Accuracy: 0.7164
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.9737 | 0.25 | 745 | 1.0216 | 0.6148 |
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+ | 0.9205 | 1.25 | 1490 | 0.9240 | 0.6510 |
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+ | 0.456 | 2.25 | 2235 | 0.7564 | 0.7154 |
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+ | 0.3316 | 3.25 | 2976 | 0.7168 | 0.7275 |
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  ### Framework versions