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Model save

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README.md CHANGED
@@ -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 [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5521
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- - Accuracy: 0.8601
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  ## Model description
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@@ -50,12 +50,12 @@ 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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- | 1.6087 | 0.17 | 270 | 1.6756 | 0.3720 |
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- | 1.1954 | 1.17 | 540 | 1.1006 | 0.5990 |
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- | 0.9847 | 2.17 | 810 | 0.9660 | 0.6715 |
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- | 0.0737 | 3.17 | 1080 | 0.6722 | 0.8309 |
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- | 0.0054 | 4.17 | 1350 | 0.5286 | 0.8502 |
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- | 0.1586 | 5.17 | 1620 | 0.5369 | 0.8696 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1702
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+ - Accuracy: 0.7817
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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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+ | 2.4355 | 0.17 | 270 | 2.3796 | 0.4879 |
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+ | 0.8776 | 1.17 | 540 | 1.4838 | 0.6812 |
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+ | 0.0146 | 2.17 | 810 | 1.0878 | 0.7391 |
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+ | 2.1899 | 3.17 | 1080 | 1.3479 | 0.7295 |
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+ | 0.0019 | 4.17 | 1350 | 0.8615 | 0.8261 |
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+ | 0.0021 | 5.17 | 1620 | 0.6128 | 0.8551 |
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  ### Framework versions
runs/Dec04_18-06-44_ff076e552dd6/events.out.tfevents.1701714429.ff076e552dd6.1376.3 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:779a74ebad21733c3852a2e14ef741e397edcada15f6e65029347142a8d7a770
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+ size 411