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  1. README.md +51 -51
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ 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-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6581
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  - Accuracy: 0.7111
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  ## Model description
@@ -51,56 +51,56 @@ 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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- | 1.3133 | 0.02 | 261 | 2.0786 | 0.5556 |
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- | 0.6004 | 1.02 | 522 | 2.5565 | 0.5556 |
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- | 1.6674 | 2.02 | 783 | 2.1021 | 0.5556 |
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- | 0.7822 | 3.02 | 1044 | 2.1914 | 0.5556 |
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- | 1.6707 | 4.02 | 1305 | 1.9963 | 0.5556 |
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- | 0.9301 | 5.02 | 1566 | 2.0110 | 0.5556 |
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- | 0.7333 | 6.02 | 1827 | 2.0193 | 0.5556 |
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- | 1.0221 | 7.02 | 2088 | 1.7499 | 0.5556 |
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- | 1.0956 | 8.02 | 2349 | 1.9463 | 0.5556 |
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- | 0.6189 | 9.02 | 2610 | 1.3986 | 0.5556 |
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- | 1.5383 | 10.02 | 2871 | 1.7564 | 0.5556 |
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- | 1.9417 | 11.02 | 3132 | 1.7499 | 0.5556 |
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- | 0.4756 | 12.02 | 3393 | 1.3450 | 0.6889 |
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- | 0.3515 | 13.02 | 3654 | 1.4140 | 0.6444 |
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- | 0.0096 | 14.02 | 3915 | 1.8714 | 0.6222 |
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- | 0.7724 | 15.02 | 4176 | 1.6674 | 0.6889 |
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- | 0.549 | 16.02 | 4437 | 2.0384 | 0.6 |
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- | 1.033 | 17.02 | 4698 | 1.6581 | 0.7111 |
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- | 1.0439 | 18.02 | 4959 | 1.9511 | 0.6222 |
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- | 1.7522 | 19.02 | 5220 | 1.9120 | 0.7111 |
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- | 0.0011 | 20.02 | 5481 | 2.1552 | 0.6222 |
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- | 0.7904 | 21.02 | 5742 | 2.0723 | 0.6444 |
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- | 0.0824 | 22.02 | 6003 | 2.3224 | 0.6 |
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- | 0.4656 | 23.02 | 6264 | 1.8394 | 0.6444 |
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- | 1.5142 | 24.02 | 6525 | 2.4023 | 0.6444 |
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- | 0.0002 | 25.02 | 6786 | 2.0959 | 0.6444 |
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- | 0.8021 | 26.02 | 7047 | 1.9081 | 0.6444 |
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- | 0.6738 | 27.02 | 7308 | 2.4259 | 0.6444 |
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- | 0.015 | 28.02 | 7569 | 2.5600 | 0.6222 |
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- | 0.001 | 29.02 | 7830 | 2.4097 | 0.6222 |
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- | 0.0003 | 30.02 | 8091 | 2.3336 | 0.6222 |
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- | 0.353 | 31.02 | 8352 | 2.4537 | 0.6444 |
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- | 0.0003 | 32.02 | 8613 | 2.4429 | 0.6889 |
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- | 0.5047 | 33.02 | 8874 | 2.5712 | 0.6222 |
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- | 0.0002 | 34.02 | 9135 | 2.3336 | 0.6444 |
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- | 1.3626 | 35.02 | 9396 | 2.5391 | 0.6222 |
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- | 0.5114 | 36.02 | 9657 | 2.6003 | 0.6222 |
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- | 0.0528 | 37.02 | 9918 | 2.4778 | 0.6 |
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- | 0.0027 | 38.02 | 10179 | 2.8720 | 0.6 |
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- | 0.703 | 39.02 | 10440 | 2.7653 | 0.6444 |
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- | 0.0001 | 40.02 | 10701 | 2.6459 | 0.6444 |
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- | 0.0001 | 41.02 | 10962 | 2.5735 | 0.6667 |
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- | 0.0 | 42.02 | 11223 | 2.6030 | 0.6889 |
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- | 0.0008 | 43.02 | 11484 | 2.7085 | 0.6667 |
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- | 0.0001 | 44.02 | 11745 | 2.8014 | 0.6444 |
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- | 0.0001 | 45.02 | 12006 | 2.7477 | 0.6667 |
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- | 0.0028 | 46.02 | 12267 | 2.8431 | 0.6444 |
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- | 0.0002 | 47.02 | 12528 | 2.8467 | 0.6444 |
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- | 0.003 | 48.02 | 12789 | 2.9743 | 0.6444 |
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- | 0.0503 | 49.02 | 13050 | 2.9219 | 0.6444 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1094
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  - Accuracy: 0.7111
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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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+ | 1.5461 | 0.02 | 261 | 2.1854 | 0.5556 |
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+ | 0.6074 | 1.02 | 522 | 2.6518 | 0.5556 |
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+ | 1.5766 | 2.02 | 783 | 1.9843 | 0.5556 |
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+ | 0.7713 | 3.02 | 1044 | 2.2332 | 0.5556 |
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+ | 1.797 | 4.02 | 1305 | 1.7064 | 0.5556 |
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+ | 0.8914 | 5.02 | 1566 | 1.8977 | 0.5556 |
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+ | 0.7372 | 6.02 | 1827 | 2.2072 | 0.5556 |
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+ | 1.0467 | 7.02 | 2088 | 1.7544 | 0.5556 |
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+ | 1.2248 | 8.02 | 2349 | 2.0315 | 0.5556 |
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+ | 0.7126 | 9.02 | 2610 | 1.7717 | 0.5556 |
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+ | 1.2486 | 10.02 | 2871 | 2.0448 | 0.5556 |
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+ | 2.2836 | 11.02 | 3132 | 2.1988 | 0.5556 |
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+ | 0.8409 | 12.02 | 3393 | 1.6258 | 0.6444 |
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+ | 0.4642 | 13.02 | 3654 | 1.3451 | 0.6667 |
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+ | 0.007 | 14.02 | 3915 | 2.2438 | 0.5556 |
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+ | 0.9377 | 15.02 | 4176 | 1.1871 | 0.6444 |
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+ | 0.7025 | 16.02 | 4437 | 1.8905 | 0.6444 |
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+ | 0.2657 | 17.02 | 4698 | 2.1760 | 0.6222 |
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+ | 1.3937 | 18.02 | 4959 | 2.0622 | 0.6 |
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+ | 1.9924 | 19.02 | 5220 | 1.8416 | 0.6667 |
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+ | 0.0009 | 20.02 | 5481 | 1.9068 | 0.6444 |
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+ | 1.0231 | 21.02 | 5742 | 1.8428 | 0.6667 |
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+ | 0.7099 | 22.02 | 6003 | 2.3108 | 0.6 |
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+ | 0.3243 | 23.02 | 6264 | 2.2084 | 0.5778 |
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+ | 2.748 | 24.02 | 6525 | 1.8855 | 0.6889 |
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+ | 0.0002 | 25.02 | 6786 | 1.9443 | 0.6667 |
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+ | 1.1288 | 26.02 | 7047 | 1.6372 | 0.6444 |
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+ | 0.0024 | 27.02 | 7308 | 2.0813 | 0.6444 |
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+ | 1.3731 | 28.02 | 7569 | 2.1846 | 0.6444 |
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+ | 0.0085 | 29.02 | 7830 | 2.2414 | 0.6222 |
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+ | 0.0004 | 30.02 | 8091 | 2.5363 | 0.5778 |
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+ | 0.7817 | 31.02 | 8352 | 2.8433 | 0.5778 |
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+ | 0.3487 | 32.02 | 8613 | 2.6374 | 0.6444 |
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+ | 0.0014 | 33.02 | 8874 | 3.0313 | 0.5778 |
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+ | 0.0009 | 34.02 | 9135 | 2.6187 | 0.6667 |
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+ | 0.014 | 35.02 | 9396 | 2.1094 | 0.7111 |
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+ | 0.512 | 36.02 | 9657 | 2.1110 | 0.6667 |
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+ | 0.0003 | 37.02 | 9918 | 3.0441 | 0.5778 |
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+ | 0.0001 | 38.02 | 10179 | 2.4423 | 0.6889 |
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+ | 0.0009 | 39.02 | 10440 | 2.3538 | 0.6889 |
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+ | 0.0001 | 40.02 | 10701 | 2.4812 | 0.6667 |
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+ | 0.0001 | 41.02 | 10962 | 2.5847 | 0.6667 |
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+ | 0.0 | 42.02 | 11223 | 2.5525 | 0.6889 |
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+ | 0.002 | 43.02 | 11484 | 2.6746 | 0.6889 |
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+ | 0.0004 | 44.02 | 11745 | 2.4888 | 0.6667 |
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+ | 0.0001 | 45.02 | 12006 | 2.5662 | 0.6444 |
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+ | 0.0011 | 46.02 | 12267 | 2.5288 | 0.6667 |
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+ | 0.0001 | 47.02 | 12528 | 2.5611 | 0.6667 |
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+ | 0.7043 | 48.02 | 12789 | 2.7606 | 0.6667 |
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+ | 0.0001 | 49.02 | 13050 | 2.7966 | 0.6667 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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