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VideoMAE_Base_WLASL_100_200_epochs_p20_SR_8

Video Classification
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Safetensors
videomae
Generated from Trainer
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  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,14 +21,14 @@ 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: 2.7735
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- - Top 1 Accuracy: 0.5562
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- - Top 5 Accuracy: 0.7899
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  - Top 10 Accuracy: 0.8698
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- - Accuracy: 0.5562
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- - Precision: 0.5992
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- - Recall: 0.5562
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- - F1: 0.5359
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  ## Model description
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@@ -61,63 +61,67 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Top 1 Accuracy | Top 5 Accuracy | Top 10 Accuracy | Accuracy | Precision | Recall | F1 |
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- |:-------------:|:-------:|:----:|:---------------:|:--------------:|:--------------:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 18.6841 | 0.005 | 180 | 4.6503 | 0.0089 | 0.0473 | 0.1095 | 0.0089 | 0.0024 | 0.0089 | 0.0028 |
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- | 18.5513 | 1.0050 | 360 | 4.6343 | 0.0148 | 0.0621 | 0.1361 | 0.0148 | 0.0004 | 0.0148 | 0.0007 |
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- | 18.4806 | 2.0050 | 540 | 4.6113 | 0.0148 | 0.0680 | 0.1183 | 0.0148 | 0.0005 | 0.0148 | 0.0009 |
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- | 18.434 | 3.0050 | 721 | 4.6232 | 0.0207 | 0.0651 | 0.1095 | 0.0207 | 0.0016 | 0.0207 | 0.0029 |
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- | 18.4438 | 4.005 | 901 | 4.6167 | 0.0178 | 0.0621 | 0.1420 | 0.0178 | 0.0052 | 0.0178 | 0.0049 |
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- | 18.2038 | 5.0050 | 1081 | 4.6281 | 0.0207 | 0.0828 | 0.1331 | 0.0207 | 0.0015 | 0.0207 | 0.0026 |
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- | 18.2475 | 6.0050 | 1261 | 4.6273 | 0.0207 | 0.0651 | 0.1183 | 0.0207 | 0.0015 | 0.0207 | 0.0026 |
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- | 18.1407 | 7.0050 | 1442 | 4.6027 | 0.0148 | 0.0799 | 0.1538 | 0.0148 | 0.0162 | 0.0148 | 0.0107 |
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- | 17.9877 | 8.005 | 1622 | 4.5711 | 0.0266 | 0.0888 | 0.1420 | 0.0266 | 0.0016 | 0.0266 | 0.0030 |
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- | 17.6844 | 9.0050 | 1802 | 4.4853 | 0.0385 | 0.1183 | 0.1953 | 0.0385 | 0.0108 | 0.0385 | 0.0146 |
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- | 16.9804 | 10.0050 | 1982 | 4.2836 | 0.0385 | 0.1509 | 0.2781 | 0.0385 | 0.0047 | 0.0385 | 0.0078 |
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- | 15.9246 | 11.0050 | 2163 | 3.9420 | 0.0740 | 0.2751 | 0.4379 | 0.0740 | 0.0241 | 0.0740 | 0.0319 |
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- | 14.253 | 12.005 | 2343 | 3.5586 | 0.1538 | 0.4734 | 0.6420 | 0.1538 | 0.1183 | 0.1538 | 0.1082 |
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- | 12.4027 | 13.0050 | 2523 | 3.2831 | 0.2278 | 0.5444 | 0.7130 | 0.2278 | 0.1972 | 0.2278 | 0.1830 |
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- | 10.6164 | 14.0050 | 2703 | 2.9951 | 0.3018 | 0.6302 | 0.7633 | 0.3018 | 0.2583 | 0.3018 | 0.2425 |
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- | 9.0753 | 15.0050 | 2884 | 2.8075 | 0.3402 | 0.6598 | 0.7988 | 0.3402 | 0.3188 | 0.3402 | 0.2890 |
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- | 7.3114 | 16.005 | 3064 | 2.5132 | 0.4112 | 0.7337 | 0.8669 | 0.4112 | 0.4357 | 0.4112 | 0.3702 |
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- | 6.0168 | 17.0050 | 3244 | 2.3303 | 0.4408 | 0.7633 | 0.8698 | 0.4408 | 0.4528 | 0.4408 | 0.4109 |
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- | 4.6862 | 18.0050 | 3424 | 2.2996 | 0.4467 | 0.7515 | 0.8580 | 0.4467 | 0.5212 | 0.4467 | 0.4292 |
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- | 3.6718 | 19.0050 | 3605 | 2.0772 | 0.5178 | 0.7840 | 0.8787 | 0.5178 | 0.5377 | 0.5178 | 0.4894 |
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- | 2.7961 | 20.005 | 3785 | 2.1207 | 0.4852 | 0.7663 | 0.8580 | 0.4852 | 0.5157 | 0.4852 | 0.4557 |
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- | 2.0751 | 21.0050 | 3965 | 2.0227 | 0.4882 | 0.7811 | 0.8876 | 0.4882 | 0.5489 | 0.4882 | 0.4816 |
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- | 1.7998 | 22.0050 | 4145 | 2.0553 | 0.4882 | 0.7751 | 0.8609 | 0.4911 | 0.5105 | 0.4911 | 0.4644 |
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- | 1.2235 | 23.0050 | 4326 | 1.9875 | 0.4882 | 0.8136 | 0.8787 | 0.4882 | 0.5147 | 0.4882 | 0.4654 |
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- | 1.1509 | 24.005 | 4506 | 1.9726 | 0.5089 | 0.8047 | 0.8728 | 0.5089 | 0.5228 | 0.5089 | 0.4862 |
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- | 0.7166 | 25.0050 | 4686 | 1.9580 | 0.5118 | 0.8107 | 0.8964 | 0.5118 | 0.5969 | 0.5118 | 0.5096 |
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- | 0.6218 | 26.0050 | 4866 | 1.9029 | 0.5355 | 0.8136 | 0.8757 | 0.5385 | 0.5595 | 0.5385 | 0.5059 |
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- | 0.419 | 27.0050 | 5047 | 2.0808 | 0.5059 | 0.7870 | 0.8787 | 0.5059 | 0.5607 | 0.5059 | 0.4846 |
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- | 0.4645 | 28.005 | 5227 | 1.9836 | 0.5266 | 0.8018 | 0.8787 | 0.5266 | 0.6049 | 0.5266 | 0.5180 |
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- | 0.3358 | 29.0050 | 5407 | 2.1230 | 0.5237 | 0.7988 | 0.8876 | 0.5207 | 0.5973 | 0.5207 | 0.5116 |
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- | 0.3703 | 30.0050 | 5587 | 2.4011 | 0.4793 | 0.7840 | 0.8669 | 0.4793 | 0.5361 | 0.4793 | 0.4653 |
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- | 0.2019 | 31.0050 | 5768 | 2.3589 | 0.5148 | 0.7929 | 0.8728 | 0.5148 | 0.5749 | 0.5148 | 0.5005 |
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- | 0.1428 | 32.005 | 5948 | 2.2092 | 0.5325 | 0.8136 | 0.8787 | 0.5325 | 0.5640 | 0.5325 | 0.5082 |
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- | 0.099 | 33.0050 | 6128 | 2.2472 | 0.5444 | 0.8225 | 0.8728 | 0.5444 | 0.5976 | 0.5444 | 0.5306 |
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- | 0.1691 | 34.0050 | 6308 | 2.2172 | 0.5680 | 0.8077 | 0.8846 | 0.5680 | 0.6237 | 0.5680 | 0.5642 |
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- | 0.2057 | 35.0050 | 6489 | 2.8165 | 0.4822 | 0.7604 | 0.8491 | 0.4822 | 0.5523 | 0.4822 | 0.4555 |
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- | 0.107 | 36.005 | 6669 | 2.5727 | 0.5296 | 0.7959 | 0.8669 | 0.5296 | 0.5999 | 0.5296 | 0.5226 |
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- | 0.076 | 37.0050 | 6849 | 2.3756 | 0.5473 | 0.8018 | 0.8609 | 0.5473 | 0.6037 | 0.5473 | 0.5397 |
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- | 0.1524 | 38.0050 | 7029 | 2.3974 | 0.5592 | 0.8047 | 0.8698 | 0.5592 | 0.6429 | 0.5592 | 0.5586 |
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- | 0.1064 | 39.0050 | 7210 | 2.5244 | 0.5562 | 0.8047 | 0.8757 | 0.5562 | 0.6057 | 0.5562 | 0.5446 |
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- | 0.1598 | 40.005 | 7390 | 2.4415 | 0.5355 | 0.8195 | 0.8728 | 0.5355 | 0.5692 | 0.5355 | 0.5146 |
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- | 0.0981 | 41.0050 | 7570 | 2.6216 | 0.5059 | 0.7751 | 0.8609 | 0.5059 | 0.5420 | 0.5059 | 0.4826 |
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- | 0.1254 | 42.0050 | 7750 | 2.7944 | 0.5059 | 0.7663 | 0.8550 | 0.5059 | 0.5576 | 0.5059 | 0.4901 |
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- | 0.1749 | 43.0050 | 7931 | 2.5536 | 0.5355 | 0.7929 | 0.8669 | 0.5355 | 0.5676 | 0.5355 | 0.5194 |
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- | 0.1931 | 44.005 | 8111 | 2.8650 | 0.4970 | 0.7899 | 0.8609 | 0.4970 | 0.5347 | 0.4970 | 0.4753 |
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- | 0.1515 | 45.0050 | 8291 | 2.4826 | 0.5592 | 0.8107 | 0.8639 | 0.5592 | 0.6056 | 0.5592 | 0.5467 |
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- | 0.1895 | 46.0050 | 8471 | 2.8683 | 0.5414 | 0.8018 | 0.8580 | 0.5414 | 0.5871 | 0.5414 | 0.5193 |
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- | 0.1179 | 47.0050 | 8652 | 2.9368 | 0.4941 | 0.7870 | 0.8728 | 0.4941 | 0.5904 | 0.4941 | 0.4902 |
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- | 0.1028 | 48.005 | 8832 | 2.8997 | 0.5562 | 0.7811 | 0.8402 | 0.5562 | 0.6346 | 0.5562 | 0.5491 |
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- | 0.2336 | 49.0050 | 9012 | 2.8391 | 0.5296 | 0.7633 | 0.8284 | 0.5296 | 0.5684 | 0.5296 | 0.5091 |
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- | 0.1344 | 50.0050 | 9192 | 2.9807 | 0.5266 | 0.7544 | 0.8491 | 0.5266 | 0.5703 | 0.5266 | 0.5092 |
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- | 0.0973 | 51.0050 | 9373 | 3.0743 | 0.4970 | 0.7663 | 0.8491 | 0.4970 | 0.5363 | 0.4970 | 0.4805 |
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- | 0.1436 | 52.005 | 9553 | 2.6934 | 0.5089 | 0.7988 | 0.8846 | 0.5089 | 0.5552 | 0.5089 | 0.5011 |
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- | 0.153 | 53.0050 | 9733 | 3.0899 | 0.5118 | 0.7929 | 0.8462 | 0.5118 | 0.5302 | 0.5118 | 0.4912 |
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- | 0.1402 | 54.0050 | 9913 | 2.7735 | 0.5562 | 0.7899 | 0.8698 | 0.5562 | 0.5992 | 0.5562 | 0.5359 |
 
 
 
 
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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: 2.8301
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+ - Top 1 Accuracy: 0.5296
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+ - Top 5 Accuracy: 0.7988
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  - Top 10 Accuracy: 0.8698
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+ - Accuracy: 0.5296
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+ - Precision: 0.5768
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+ - Recall: 0.5296
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+ - F1: 0.5133
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Top 1 Accuracy | Top 5 Accuracy | Top 10 Accuracy | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-------:|:-----:|:---------------:|:--------------:|:--------------:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 18.5755 | 0.005 | 180 | 4.6413 | 0.0089 | 0.0444 | 0.1006 | 0.0089 | 0.0005 | 0.0089 | 0.0010 |
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+ | 18.4843 | 1.0050 | 360 | 4.6308 | 0.0089 | 0.0621 | 0.1006 | 0.0089 | 0.0006 | 0.0089 | 0.0012 |
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+ | 18.4592 | 2.0050 | 541 | 4.6209 | 0.0207 | 0.0710 | 0.1065 | 0.0207 | 0.0017 | 0.0207 | 0.0027 |
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+ | 18.4604 | 3.005 | 721 | 4.6171 | 0.0178 | 0.0680 | 0.1213 | 0.0178 | 0.0005 | 0.0178 | 0.0010 |
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+ | 18.4543 | 4.0050 | 901 | 4.6106 | 0.0237 | 0.0858 | 0.1450 | 0.0237 | 0.0008 | 0.0237 | 0.0016 |
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+ | 18.3384 | 5.0050 | 1081 | 4.6190 | 0.0178 | 0.0680 | 0.1095 | 0.0178 | 0.0003 | 0.0178 | 0.0007 |
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+ | 18.1947 | 6.0050 | 1262 | 4.6096 | 0.0296 | 0.0917 | 0.1361 | 0.0296 | 0.0038 | 0.0296 | 0.0057 |
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+ | 18.1104 | 7.005 | 1442 | 4.5992 | 0.0355 | 0.0947 | 0.1450 | 0.0355 | 0.0060 | 0.0355 | 0.0082 |
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+ | 18.0825 | 8.0050 | 1622 | 4.5940 | 0.0178 | 0.0976 | 0.1568 | 0.0178 | 0.0059 | 0.0178 | 0.0080 |
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+ | 17.9081 | 9.0050 | 1802 | 4.5627 | 0.0325 | 0.1065 | 0.1686 | 0.0325 | 0.0076 | 0.0325 | 0.0103 |
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+ | 17.4986 | 10.0050 | 1983 | 4.4287 | 0.0355 | 0.1213 | 0.2012 | 0.0355 | 0.0087 | 0.0355 | 0.0126 |
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+ | 16.3869 | 11.005 | 2163 | 4.1366 | 0.0651 | 0.2337 | 0.3757 | 0.0651 | 0.0228 | 0.0651 | 0.0289 |
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+ | 15.0278 | 12.0050 | 2343 | 3.7821 | 0.1065 | 0.3580 | 0.5178 | 0.1065 | 0.0601 | 0.1065 | 0.0572 |
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+ | 13.4974 | 13.0050 | 2523 | 3.4419 | 0.2012 | 0.5030 | 0.6686 | 0.2012 | 0.1761 | 0.2012 | 0.1544 |
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+ | 11.5774 | 14.0050 | 2704 | 3.2605 | 0.2189 | 0.5355 | 0.6982 | 0.2189 | 0.2069 | 0.2189 | 0.1725 |
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+ | 10.263 | 15.005 | 2884 | 2.8508 | 0.3195 | 0.6627 | 0.8077 | 0.3195 | 0.3730 | 0.3195 | 0.2952 |
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+ | 8.1589 | 16.0050 | 3064 | 2.5945 | 0.3905 | 0.7308 | 0.8462 | 0.3905 | 0.4168 | 0.3905 | 0.3592 |
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+ | 6.8221 | 17.0050 | 3244 | 2.4311 | 0.3994 | 0.7337 | 0.8728 | 0.3994 | 0.4000 | 0.3994 | 0.3640 |
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+ | 5.4923 | 18.0050 | 3425 | 2.2139 | 0.4615 | 0.7929 | 0.8669 | 0.4645 | 0.4886 | 0.4645 | 0.4350 |
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+ | 4.1619 | 19.005 | 3605 | 2.1384 | 0.4734 | 0.7840 | 0.8817 | 0.4734 | 0.5276 | 0.4734 | 0.4503 |
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+ | 3.3413 | 20.0050 | 3785 | 1.9583 | 0.5118 | 0.8107 | 0.9053 | 0.5118 | 0.5485 | 0.5118 | 0.4908 |
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+ | 2.5832 | 21.0050 | 3965 | 1.8604 | 0.5 | 0.8284 | 0.9201 | 0.5 | 0.5000 | 0.5 | 0.4713 |
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+ | 1.9003 | 22.0050 | 4146 | 1.9390 | 0.5296 | 0.8195 | 0.8905 | 0.5296 | 0.5860 | 0.5296 | 0.5140 |
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+ | 1.4226 | 23.005 | 4326 | 1.9288 | 0.5266 | 0.8077 | 0.9083 | 0.5266 | 0.6341 | 0.5266 | 0.5303 |
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+ | 1.1341 | 24.0050 | 4506 | 1.8854 | 0.5266 | 0.7899 | 0.8964 | 0.5266 | 0.5719 | 0.5266 | 0.5079 |
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+ | 0.9315 | 25.0050 | 4686 | 1.7328 | 0.5769 | 0.8462 | 0.8994 | 0.5769 | 0.6261 | 0.5769 | 0.5565 |
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+ | 0.7536 | 26.0050 | 4867 | 1.8349 | 0.5385 | 0.8195 | 0.8964 | 0.5385 | 0.6288 | 0.5385 | 0.5296 |
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+ | 0.4518 | 27.005 | 5047 | 1.7999 | 0.5533 | 0.8550 | 0.9172 | 0.5533 | 0.6276 | 0.5533 | 0.5437 |
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+ | 0.3322 | 28.0050 | 5227 | 1.6931 | 0.6006 | 0.8491 | 0.9260 | 0.6006 | 0.6578 | 0.6006 | 0.5896 |
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+ | 0.403 | 29.0050 | 5407 | 1.8000 | 0.5740 | 0.8462 | 0.9142 | 0.5740 | 0.6240 | 0.5740 | 0.5584 |
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+ | 0.1837 | 30.0050 | 5588 | 1.8765 | 0.5769 | 0.8373 | 0.8935 | 0.5769 | 0.6391 | 0.5769 | 0.5664 |
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+ | 0.1579 | 31.005 | 5768 | 2.0752 | 0.5473 | 0.8432 | 0.8994 | 0.5473 | 0.6337 | 0.5473 | 0.5426 |
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+ | 0.2079 | 32.0050 | 5948 | 1.9234 | 0.5947 | 0.8136 | 0.8964 | 0.5947 | 0.6524 | 0.5947 | 0.5791 |
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+ | 0.2738 | 33.0050 | 6128 | 1.8529 | 0.6036 | 0.8491 | 0.9024 | 0.6065 | 0.6622 | 0.6065 | 0.5892 |
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+ | 0.2621 | 34.0050 | 6309 | 1.9906 | 0.5740 | 0.8284 | 0.9172 | 0.5740 | 0.6191 | 0.5740 | 0.5640 |
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+ | 0.2024 | 35.005 | 6489 | 1.8942 | 0.5976 | 0.8639 | 0.9260 | 0.5976 | 0.6615 | 0.5976 | 0.5886 |
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+ | 0.0983 | 36.0050 | 6669 | 2.0340 | 0.5858 | 0.8254 | 0.8846 | 0.5858 | 0.6500 | 0.5858 | 0.5729 |
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+ | 0.0592 | 37.0050 | 6849 | 1.8493 | 0.6095 | 0.8609 | 0.9231 | 0.6095 | 0.6775 | 0.6095 | 0.5986 |
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+ | 0.0922 | 38.0050 | 7030 | 1.9036 | 0.6302 | 0.8669 | 0.9260 | 0.6302 | 0.6825 | 0.6302 | 0.6125 |
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+ | 0.1547 | 39.005 | 7210 | 1.9897 | 0.6036 | 0.8432 | 0.9053 | 0.6036 | 0.6726 | 0.6036 | 0.5948 |
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+ | 0.1162 | 40.0050 | 7390 | 2.3056 | 0.5828 | 0.8284 | 0.8876 | 0.5828 | 0.6518 | 0.5828 | 0.5675 |
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+ | 0.0514 | 41.0050 | 7570 | 2.3211 | 0.5888 | 0.7988 | 0.8817 | 0.5888 | 0.6510 | 0.5888 | 0.5767 |
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+ | 0.1138 | 42.0050 | 7751 | 2.3149 | 0.5740 | 0.8491 | 0.9053 | 0.5740 | 0.6285 | 0.5740 | 0.5628 |
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+ | 0.1197 | 43.005 | 7931 | 2.1156 | 0.6124 | 0.8669 | 0.9172 | 0.6124 | 0.6907 | 0.6124 | 0.6073 |
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+ | 0.0673 | 44.0050 | 8111 | 2.2835 | 0.5828 | 0.8580 | 0.9083 | 0.5828 | 0.6274 | 0.5828 | 0.5641 |
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+ | 0.1501 | 45.0050 | 8291 | 2.2719 | 0.5917 | 0.8521 | 0.8905 | 0.5917 | 0.6419 | 0.5917 | 0.5757 |
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+ | 0.2022 | 46.0050 | 8472 | 2.3422 | 0.5562 | 0.8491 | 0.9053 | 0.5562 | 0.6034 | 0.5562 | 0.5402 |
113
+ | 0.2185 | 47.005 | 8652 | 2.6431 | 0.5237 | 0.8284 | 0.8817 | 0.5237 | 0.5808 | 0.5237 | 0.5125 |
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+ | 0.2385 | 48.0050 | 8832 | 2.3147 | 0.5799 | 0.8521 | 0.9053 | 0.5799 | 0.6324 | 0.5799 | 0.5623 |
115
+ | 0.1769 | 49.0050 | 9012 | 2.3451 | 0.5769 | 0.8373 | 0.8876 | 0.5769 | 0.6246 | 0.5769 | 0.5622 |
116
+ | 0.1927 | 50.0050 | 9193 | 2.7140 | 0.5562 | 0.8018 | 0.8728 | 0.5562 | 0.6025 | 0.5562 | 0.5347 |
117
+ | 0.2048 | 51.005 | 9373 | 2.3876 | 0.5917 | 0.8225 | 0.8935 | 0.5917 | 0.6367 | 0.5917 | 0.5748 |
118
+ | 0.1608 | 52.0050 | 9553 | 2.6983 | 0.5266 | 0.8077 | 0.8580 | 0.5266 | 0.5645 | 0.5266 | 0.5013 |
119
+ | 0.1256 | 53.0050 | 9733 | 2.7464 | 0.5385 | 0.8018 | 0.8905 | 0.5385 | 0.5773 | 0.5385 | 0.5257 |
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+ | 0.1327 | 54.0050 | 9914 | 2.5133 | 0.5651 | 0.7988 | 0.8846 | 0.5651 | 0.5812 | 0.5651 | 0.5342 |
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+ | 0.0503 | 55.005 | 10094 | 2.5687 | 0.5769 | 0.8314 | 0.8964 | 0.5769 | 0.6336 | 0.5769 | 0.5635 |
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+ | 0.0841 | 56.0050 | 10274 | 2.7311 | 0.5503 | 0.8284 | 0.8905 | 0.5503 | 0.6025 | 0.5503 | 0.5329 |
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+ | 0.0888 | 57.0050 | 10454 | 2.6771 | 0.5592 | 0.8195 | 0.8935 | 0.5592 | 0.6142 | 0.5592 | 0.5473 |
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+ | 0.0629 | 58.0050 | 10635 | 2.8301 | 0.5296 | 0.7988 | 0.8698 | 0.5296 | 0.5768 | 0.5296 | 0.5133 |
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  ### Framework versions
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  size 345238832
 
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  size 345238832