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beingbatman
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CTMAE-P2-V4-S1

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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  1. README.md +52 -52
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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-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: 0.4420
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- - Accuracy: 0.8913
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  ## Model description
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@@ -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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- | 0.6561 | 0.0202 | 131 | 0.8868 | 0.5435 |
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- | 0.4322 | 1.0202 | 262 | 2.1919 | 0.5435 |
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- | 1.1248 | 2.0202 | 393 | 2.0383 | 0.5435 |
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- | 0.7549 | 3.0202 | 524 | 0.8611 | 0.5435 |
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- | 1.4378 | 4.0202 | 655 | 1.6160 | 0.5435 |
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- | 0.7574 | 5.0202 | 786 | 1.6318 | 0.5435 |
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- | 0.9475 | 6.0202 | 917 | 1.5960 | 0.5435 |
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- | 1.8018 | 7.0202 | 1048 | 1.2256 | 0.5435 |
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- | 0.8153 | 8.0202 | 1179 | 1.5860 | 0.5435 |
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- | 0.9946 | 9.0202 | 1310 | 1.3239 | 0.5435 |
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- | 0.7536 | 10.0202 | 1441 | 1.4525 | 0.5435 |
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- | 0.7593 | 11.0202 | 1572 | 1.5691 | 0.5435 |
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- | 0.7349 | 12.0202 | 1703 | 0.6850 | 0.5435 |
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- | 0.9746 | 13.0202 | 1834 | 0.9550 | 0.5435 |
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- | 0.8989 | 14.0202 | 1965 | 1.7310 | 0.5435 |
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- | 0.5763 | 15.0202 | 2096 | 1.0885 | 0.5435 |
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- | 0.6451 | 16.0202 | 2227 | 1.3767 | 0.5435 |
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- | 0.7153 | 17.0202 | 2358 | 0.5794 | 0.6522 |
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- | 1.2012 | 18.0202 | 2489 | 0.5099 | 0.7391 |
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- | 1.1839 | 19.0202 | 2620 | 0.7626 | 0.7174 |
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- | 0.5209 | 20.0202 | 2751 | 0.5505 | 0.7391 |
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- | 0.6763 | 21.0202 | 2882 | 0.5220 | 0.8261 |
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- | 1.3062 | 22.0202 | 3013 | 0.8751 | 0.6739 |
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- | 0.8899 | 23.0202 | 3144 | 0.4420 | 0.8913 |
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- | 0.3098 | 24.0202 | 3275 | 0.6797 | 0.7826 |
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- | 0.3074 | 25.0202 | 3406 | 1.1961 | 0.7174 |
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- | 0.503 | 26.0202 | 3537 | 0.4376 | 0.8913 |
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- | 0.3473 | 27.0202 | 3668 | 1.0278 | 0.7609 |
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- | 0.5492 | 28.0202 | 3799 | 0.7568 | 0.8478 |
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- | 0.8684 | 29.0202 | 3930 | 0.5628 | 0.8261 |
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- | 0.6724 | 30.0202 | 4061 | 0.6022 | 0.8261 |
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- | 0.6742 | 31.0202 | 4192 | 0.4716 | 0.8261 |
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- | 0.4085 | 32.0202 | 4323 | 0.7836 | 0.7826 |
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- | 0.5835 | 33.0202 | 4454 | 0.8055 | 0.8043 |
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- | 0.4474 | 34.0202 | 4585 | 0.6937 | 0.8043 |
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- | 0.8776 | 35.0202 | 4716 | 0.5996 | 0.8043 |
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- | 0.0238 | 36.0202 | 4847 | 0.6609 | 0.8261 |
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- | 1.0006 | 37.0202 | 4978 | 0.6462 | 0.8478 |
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- | 0.0112 | 38.0202 | 5109 | 0.6315 | 0.8261 |
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- | 0.8289 | 39.0202 | 5240 | 0.6414 | 0.8478 |
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- | 0.0815 | 40.0202 | 5371 | 0.7430 | 0.8261 |
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- | 0.5463 | 41.0202 | 5502 | 0.9674 | 0.8261 |
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- | 0.2238 | 42.0202 | 5633 | 0.8530 | 0.8043 |
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- | 0.0093 | 43.0202 | 5764 | 0.8497 | 0.8261 |
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- | 0.0008 | 44.0202 | 5895 | 0.6862 | 0.8478 |
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- | 0.584 | 45.0202 | 6026 | 0.5017 | 0.8696 |
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- | 0.002 | 46.0202 | 6157 | 0.6120 | 0.8478 |
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- | 0.0045 | 47.0202 | 6288 | 0.5797 | 0.8478 |
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- | 0.3487 | 48.0202 | 6419 | 0.6314 | 0.8478 |
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- | 0.0192 | 49.0125 | 6500 | 0.6345 | 0.8478 |
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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: 0.4018
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+ - Accuracy: 0.8696
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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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+ | 0.6432 | 0.0202 | 131 | 0.8218 | 0.5435 |
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+ | 0.4243 | 1.0202 | 262 | 2.1313 | 0.5435 |
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+ | 1.0867 | 2.0202 | 393 | 1.9686 | 0.5435 |
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+ | 0.7155 | 3.0202 | 524 | 0.8454 | 0.5435 |
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+ | 1.2743 | 4.0202 | 655 | 1.4546 | 0.5435 |
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+ | 0.7952 | 5.0202 | 786 | 1.4258 | 0.5435 |
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+ | 0.7364 | 6.0202 | 917 | 1.2201 | 0.5435 |
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+ | 1.4976 | 7.0202 | 1048 | 0.9825 | 0.5435 |
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+ | 0.7766 | 8.0202 | 1179 | 1.4507 | 0.5435 |
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+ | 0.8254 | 9.0202 | 1310 | 1.0845 | 0.5435 |
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+ | 0.7267 | 10.0202 | 1441 | 1.2709 | 0.5435 |
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+ | 0.6193 | 11.0202 | 1572 | 1.2887 | 0.5435 |
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+ | 0.637 | 12.0202 | 1703 | 0.6064 | 0.5870 |
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+ | 0.7321 | 13.0202 | 1834 | 0.9141 | 0.5435 |
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+ | 1.0134 | 14.0202 | 1965 | 1.6380 | 0.5435 |
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+ | 0.2139 | 15.0202 | 2096 | 0.6076 | 0.6957 |
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+ | 0.687 | 16.0202 | 2227 | 1.1890 | 0.5435 |
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+ | 0.8722 | 17.0202 | 2358 | 0.5484 | 0.7826 |
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+ | 1.176 | 18.0202 | 2489 | 0.4018 | 0.8696 |
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+ | 0.8042 | 19.0202 | 2620 | 0.9282 | 0.7174 |
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+ | 0.3013 | 20.0202 | 2751 | 0.5083 | 0.7609 |
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+ | 0.646 | 21.0202 | 2882 | 0.5288 | 0.8261 |
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+ | 1.3053 | 22.0202 | 3013 | 1.1224 | 0.6522 |
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+ | 0.9903 | 23.0202 | 3144 | 0.4706 | 0.8043 |
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+ | 0.7157 | 24.0202 | 3275 | 0.8163 | 0.7826 |
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+ | 0.3073 | 25.0202 | 3406 | 1.1409 | 0.7609 |
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+ | 0.5069 | 26.0202 | 3537 | 0.5148 | 0.8043 |
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+ | 0.2683 | 27.0202 | 3668 | 1.2584 | 0.7609 |
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+ | 0.4506 | 28.0202 | 3799 | 0.8241 | 0.7826 |
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+ | 0.6501 | 29.0202 | 3930 | 0.9973 | 0.8261 |
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+ | 0.6552 | 30.0202 | 4061 | 1.0375 | 0.7609 |
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+ | 0.0676 | 31.0202 | 4192 | 0.9151 | 0.8043 |
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+ | 0.0514 | 32.0202 | 4323 | 1.3664 | 0.7609 |
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+ | 0.5447 | 33.0202 | 4454 | 1.4551 | 0.7391 |
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+ | 0.3701 | 34.0202 | 4585 | 1.3388 | 0.7826 |
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+ | 0.6869 | 35.0202 | 4716 | 1.3302 | 0.7826 |
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+ | 0.1371 | 36.0202 | 4847 | 1.4859 | 0.7826 |
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+ | 0.5565 | 37.0202 | 4978 | 1.4103 | 0.7609 |
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+ | 0.0022 | 38.0202 | 5109 | 1.3428 | 0.7391 |
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+ | 1.5897 | 39.0202 | 5240 | 1.4125 | 0.7391 |
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+ | 0.1302 | 40.0202 | 5371 | 1.3893 | 0.7391 |
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+ | 0.2463 | 41.0202 | 5502 | 1.5599 | 0.7609 |
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+ | 0.0007 | 42.0202 | 5633 | 1.3542 | 0.7826 |
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+ | 0.0004 | 43.0202 | 5764 | 1.8062 | 0.7391 |
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+ | 0.0803 | 44.0202 | 5895 | 1.5014 | 0.7826 |
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+ | 0.3332 | 45.0202 | 6026 | 1.5840 | 0.7391 |
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+ | 0.0004 | 46.0202 | 6157 | 1.5471 | 0.7391 |
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+ | 0.0004 | 47.0202 | 6288 | 1.3982 | 0.7826 |
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+ | 0.0019 | 48.0202 | 6419 | 1.4889 | 0.7391 |
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+ | 0.0006 | 49.0125 | 6500 | 1.4876 | 0.7609 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 1215496208