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ihsanahakiim
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videomae-base-finetuned-ucf101-subset

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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  1. README.md +126 -66
  2. model.safetensors +1 -1
  3. runs/Jan16_11-24-13_GAN-SVR/events.out.tfevents.1737080111.GAN-SVR.864097.1 +3 -0
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-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: 1.0844
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- - Accuracy: 0.7320
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  ## Model description
25
 
@@ -45,77 +45,137 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 832
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50
  ### Training results
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52
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
- |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 4.238 | 0.0168 | 14 | 4.2235 | 0.0180 |
55
- | 4.2658 | 1.0168 | 28 | 4.2075 | 0.0203 |
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- | 4.219 | 2.0168 | 42 | 4.2053 | 0.0158 |
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- | 4.2146 | 3.0168 | 56 | 4.2098 | 0.0225 |
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- | 4.1925 | 4.0168 | 70 | 4.1824 | 0.0225 |
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- | 4.1192 | 5.0168 | 84 | 4.0819 | 0.0383 |
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- | 4.0297 | 6.0168 | 98 | 3.9819 | 0.0698 |
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- | 3.7134 | 7.0168 | 112 | 3.7340 | 0.1036 |
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- | 3.5289 | 8.0168 | 126 | 3.4205 | 0.1802 |
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- | 3.0625 | 9.0168 | 140 | 3.1970 | 0.2613 |
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- | 2.8776 | 10.0168 | 154 | 2.9350 | 0.3018 |
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- | 2.6375 | 11.0168 | 168 | 2.7630 | 0.3604 |
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- | 2.2954 | 12.0168 | 182 | 2.4991 | 0.4279 |
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- | 2.1337 | 13.0168 | 196 | 2.3827 | 0.4324 |
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- | 1.8195 | 14.0168 | 210 | 2.2312 | 0.4820 |
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- | 1.6436 | 15.0168 | 224 | 2.3629 | 0.4459 |
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- | 1.6289 | 16.0168 | 238 | 2.1512 | 0.4752 |
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- | 1.2957 | 17.0168 | 252 | 2.0142 | 0.5023 |
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- | 1.2761 | 18.0168 | 266 | 1.9061 | 0.5270 |
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- | 1.1118 | 19.0168 | 280 | 1.8113 | 0.5495 |
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- | 0.9642 | 20.0168 | 294 | 1.7280 | 0.6036 |
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- | 0.894 | 21.0168 | 308 | 1.8723 | 0.5383 |
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- | 0.7974 | 22.0168 | 322 | 1.6585 | 0.6059 |
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- | 0.833 | 23.0168 | 336 | 1.5996 | 0.6149 |
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- | 0.6431 | 24.0168 | 350 | 1.5609 | 0.6149 |
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- | 0.5873 | 25.0168 | 364 | 1.6108 | 0.6171 |
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- | 0.5554 | 26.0168 | 378 | 1.4014 | 0.6532 |
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- | 0.4786 | 27.0168 | 392 | 1.4335 | 0.6622 |
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- | 0.4252 | 28.0168 | 406 | 1.4445 | 0.6509 |
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- | 0.382 | 29.0168 | 420 | 1.3915 | 0.6622 |
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- | 0.365 | 30.0168 | 434 | 1.2978 | 0.6847 |
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- | 0.319 | 31.0168 | 448 | 1.3218 | 0.6824 |
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- | 0.3167 | 32.0168 | 462 | 1.3496 | 0.6644 |
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- | 0.2797 | 33.0168 | 476 | 1.2806 | 0.6802 |
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- | 0.2864 | 34.0168 | 490 | 1.2191 | 0.7072 |
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- | 0.2927 | 35.0168 | 504 | 1.2135 | 0.7207 |
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- | 0.2698 | 36.0168 | 518 | 1.2507 | 0.6914 |
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- | 0.2333 | 37.0168 | 532 | 1.2038 | 0.7095 |
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- | 0.2366 | 38.0168 | 546 | 1.1517 | 0.7207 |
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- | 0.1886 | 39.0168 | 560 | 1.2074 | 0.7095 |
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- | 0.1804 | 40.0168 | 574 | 1.1658 | 0.7027 |
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- | 0.1778 | 41.0168 | 588 | 1.2350 | 0.6824 |
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- | 0.1728 | 42.0168 | 602 | 1.1638 | 0.7162 |
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- | 0.1998 | 43.0168 | 616 | 1.2359 | 0.6959 |
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- | 0.1727 | 44.0168 | 630 | 1.2321 | 0.6937 |
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- | 0.1564 | 45.0168 | 644 | 1.1605 | 0.7140 |
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- | 0.1888 | 46.0168 | 658 | 1.1609 | 0.7095 |
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- | 0.1227 | 47.0168 | 672 | 1.1588 | 0.7117 |
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- | 0.134 | 48.0168 | 686 | 1.1698 | 0.7072 |
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- | 0.1622 | 49.0168 | 700 | 1.2014 | 0.6982 |
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- | 0.1391 | 50.0168 | 714 | 1.1006 | 0.7162 |
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- | 0.1276 | 51.0168 | 728 | 1.1485 | 0.6892 |
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- | 0.1222 | 52.0168 | 742 | 1.0802 | 0.7140 |
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- | 0.1024 | 53.0168 | 756 | 1.1243 | 0.7050 |
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- | 0.1186 | 54.0168 | 770 | 1.0909 | 0.7297 |
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- | 0.1121 | 55.0168 | 784 | 1.1351 | 0.7095 |
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- | 0.1284 | 56.0168 | 798 | 1.1095 | 0.7275 |
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- | 0.0893 | 57.0168 | 812 | 1.0844 | 0.7320 |
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- | 0.0878 | 58.0168 | 826 | 1.0804 | 0.7297 |
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- | 0.0887 | 59.0072 | 832 | 1.0809 | 0.7297 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.48.0
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- - Pytorch 2.5.1+cu124
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
18
 
19
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.9019
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+ - Accuracy: 0.5540
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24
  ## Model description
25
 
 
45
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
  - lr_scheduler_type: linear
47
  - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 1920
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50
  ### Training results
51
 
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:--------:|:----:|:---------------:|:--------:|
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+ | 4.2451 | 0.0083 | 16 | 4.2284 | 0.0107 |
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+ | 4.2251 | 1.0083 | 32 | 4.2152 | 0.0107 |
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+ | 4.2276 | 2.0083 | 48 | 4.2096 | 0.0121 |
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+ | 4.2146 | 3.0083 | 64 | 4.2124 | 0.0149 |
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+ | 4.2217 | 4.0083 | 80 | 4.2042 | 0.0178 |
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+ | 4.2091 | 5.0083 | 96 | 4.2051 | 0.0234 |
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+ | 4.2085 | 6.0083 | 112 | 4.1939 | 0.0185 |
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+ | 4.2044 | 7.0083 | 128 | 4.1792 | 0.0391 |
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+ | 4.1624 | 8.0083 | 144 | 4.2015 | 0.0220 |
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+ | 4.1253 | 9.0083 | 160 | 4.1215 | 0.0298 |
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+ | 4.0308 | 10.0083 | 176 | 4.0025 | 0.0710 |
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+ | 3.8065 | 11.0083 | 192 | 3.8723 | 0.0838 |
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+ | 3.7614 | 12.0083 | 208 | 3.7139 | 0.0994 |
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+ | 3.4761 | 13.0083 | 224 | 3.6160 | 0.1435 |
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+ | 3.278 | 14.0083 | 240 | 3.3940 | 0.1925 |
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+ | 3.0999 | 15.0083 | 256 | 3.3183 | 0.2081 |
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+ | 2.9721 | 16.0083 | 272 | 3.1596 | 0.2486 |
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+ | 2.8064 | 17.0083 | 288 | 3.0232 | 0.2670 |
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+ | 2.6554 | 18.0083 | 304 | 2.9448 | 0.2912 |
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+ | 2.5052 | 19.0083 | 320 | 2.8285 | 0.3310 |
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+ | 2.4322 | 20.0083 | 336 | 2.7479 | 0.3402 |
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+ | 2.3193 | 21.0083 | 352 | 2.7941 | 0.3310 |
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+ | 2.2565 | 22.0083 | 368 | 2.6383 | 0.3672 |
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+ | 2.1405 | 23.0083 | 384 | 2.5906 | 0.3608 |
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+ | 2.1049 | 24.0083 | 400 | 2.5515 | 0.3786 |
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+ | 1.8424 | 25.0083 | 416 | 2.4692 | 0.3920 |
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+ | 1.8685 | 26.0083 | 432 | 2.4325 | 0.4276 |
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+ | 1.7478 | 27.0083 | 448 | 2.4165 | 0.4148 |
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+ | 1.7072 | 28.0083 | 464 | 2.3617 | 0.4268 |
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+ | 1.7206 | 29.0083 | 480 | 2.3723 | 0.4304 |
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+ | 1.693 | 30.0083 | 496 | 2.2890 | 0.4425 |
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+ | 1.6347 | 31.0083 | 512 | 2.2442 | 0.4411 |
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+ | 1.5276 | 32.0083 | 528 | 2.2104 | 0.4673 |
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+ | 1.4576 | 33.0083 | 544 | 2.2279 | 0.4545 |
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+ | 1.5455 | 34.0083 | 560 | 2.2050 | 0.4524 |
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+ | 1.4485 | 35.0083 | 576 | 2.1585 | 0.4737 |
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+ | 1.3896 | 36.0083 | 592 | 2.1851 | 0.4446 |
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+ | 1.3766 | 37.0083 | 608 | 2.1185 | 0.4872 |
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+ | 1.4035 | 38.0083 | 624 | 2.1164 | 0.4794 |
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+ | 1.5892 | 39.0083 | 640 | 2.1029 | 0.4801 |
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+ | 1.3647 | 40.0083 | 656 | 2.0912 | 0.4929 |
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+ | 1.388 | 41.0083 | 672 | 2.1331 | 0.4730 |
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+ | 1.3425 | 42.0083 | 688 | 2.1437 | 0.4794 |
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+ | 1.2909 | 43.0083 | 704 | 2.1090 | 0.4716 |
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+ | 1.2757 | 44.0083 | 720 | 2.0686 | 0.4901 |
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+ | 1.181 | 45.0083 | 736 | 2.0485 | 0.4893 |
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+ | 1.1825 | 46.0083 | 752 | 2.0561 | 0.4844 |
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+ | 1.1594 | 47.0083 | 768 | 2.0327 | 0.4964 |
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+ | 1.1699 | 48.0083 | 784 | 2.0950 | 0.4766 |
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+ | 1.1908 | 49.0083 | 800 | 2.0465 | 0.4851 |
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+ | 1.1149 | 50.0083 | 816 | 2.0570 | 0.4879 |
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+ | 1.1388 | 51.0083 | 832 | 2.0232 | 0.4979 |
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+ | 1.0421 | 52.0083 | 848 | 2.0133 | 0.4986 |
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+ | 1.1243 | 53.0083 | 864 | 2.0421 | 0.4901 |
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+ | 1.1064 | 54.0083 | 880 | 1.9614 | 0.5043 |
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+ | 0.9778 | 55.0083 | 896 | 1.9939 | 0.5071 |
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+ | 1.1417 | 56.0083 | 912 | 1.9774 | 0.5107 |
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+ | 1.0578 | 57.0083 | 928 | 1.9625 | 0.5305 |
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+ | 1.0904 | 58.0083 | 944 | 1.9713 | 0.5057 |
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+ | 1.2569 | 59.0083 | 960 | 1.9496 | 0.5256 |
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+ | 1.076 | 60.0083 | 976 | 1.9238 | 0.5369 |
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+ | 1.018 | 61.0083 | 992 | 1.9578 | 0.5156 |
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+ | 0.8569 | 62.0083 | 1008 | 1.9410 | 0.5185 |
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+ | 0.9847 | 63.0083 | 1024 | 1.9655 | 0.5135 |
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+ | 0.8992 | 64.0083 | 1040 | 1.9741 | 0.5185 |
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+ | 0.9781 | 65.0083 | 1056 | 1.9591 | 0.5249 |
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+ | 0.9016 | 66.0083 | 1072 | 1.9802 | 0.5135 |
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+ | 0.9443 | 67.0083 | 1088 | 1.9882 | 0.5036 |
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+ | 0.9359 | 68.0083 | 1104 | 2.0046 | 0.5092 |
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+ | 0.7735 | 69.0083 | 1120 | 2.0172 | 0.5064 |
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+ | 0.9405 | 70.0083 | 1136 | 1.9552 | 0.5270 |
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+ | 0.9709 | 71.0083 | 1152 | 1.9573 | 0.5227 |
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+ | 0.9914 | 72.0083 | 1168 | 1.9768 | 0.5249 |
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+ | 0.8487 | 73.0083 | 1184 | 1.9570 | 0.5327 |
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+ | 0.835 | 74.0083 | 1200 | 1.9759 | 0.5241 |
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+ | 0.8914 | 75.0083 | 1216 | 1.9309 | 0.5298 |
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+ | 0.9242 | 76.0083 | 1232 | 1.9595 | 0.5241 |
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+ | 0.8235 | 77.0083 | 1248 | 1.9556 | 0.5277 |
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+ | 0.8664 | 78.0083 | 1264 | 1.9790 | 0.5135 |
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+ | 0.8699 | 79.0083 | 1280 | 1.9835 | 0.5227 |
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+ | 0.9112 | 80.0083 | 1296 | 1.9426 | 0.5291 |
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+ | 0.7901 | 81.0083 | 1312 | 1.9598 | 0.5256 |
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+ | 0.8186 | 82.0083 | 1328 | 1.9397 | 0.5320 |
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+ | 0.8229 | 83.0083 | 1344 | 1.9384 | 0.5327 |
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+ | 0.9063 | 84.0083 | 1360 | 1.9324 | 0.5291 |
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+ | 0.8843 | 85.0083 | 1376 | 1.9316 | 0.5369 |
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+ | 0.7904 | 86.0083 | 1392 | 1.9269 | 0.5376 |
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+ | 0.7942 | 87.0083 | 1408 | 1.9506 | 0.5291 |
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+ | 0.8798 | 88.0083 | 1424 | 1.9185 | 0.5405 |
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+ | 0.7678 | 89.0083 | 1440 | 1.9362 | 0.5327 |
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+ | 0.7589 | 90.0083 | 1456 | 1.9496 | 0.5277 |
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+ | 0.6679 | 91.0083 | 1472 | 1.9507 | 0.5298 |
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+ | 0.8042 | 92.0083 | 1488 | 1.9510 | 0.5369 |
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+ | 0.7722 | 93.0083 | 1504 | 1.9503 | 0.5334 |
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+ | 0.6831 | 94.0083 | 1520 | 1.9531 | 0.5348 |
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+ | 0.766 | 95.0083 | 1536 | 1.9345 | 0.5384 |
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+ | 0.8099 | 96.0083 | 1552 | 1.9349 | 0.5376 |
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+ | 0.7513 | 97.0083 | 1568 | 1.9238 | 0.5462 |
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+ | 0.6561 | 98.0083 | 1584 | 1.9338 | 0.5426 |
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+ | 0.7423 | 99.0083 | 1600 | 1.9019 | 0.5540 |
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+ | 0.7739 | 100.0083 | 1616 | 1.9165 | 0.5504 |
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+ | 0.6562 | 101.0083 | 1632 | 1.9271 | 0.5433 |
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+ | 0.7182 | 102.0083 | 1648 | 1.9096 | 0.5440 |
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+ | 0.6898 | 103.0083 | 1664 | 1.9213 | 0.5483 |
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+ | 0.6541 | 104.0083 | 1680 | 1.9263 | 0.5433 |
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+ | 0.7131 | 105.0083 | 1696 | 1.9148 | 0.5469 |
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+ | 0.7076 | 106.0083 | 1712 | 1.9193 | 0.5455 |
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+ | 0.7822 | 107.0083 | 1728 | 1.9166 | 0.5440 |
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+ | 0.6955 | 108.0083 | 1744 | 1.9167 | 0.5490 |
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+ | 0.6939 | 109.0083 | 1760 | 1.9129 | 0.5426 |
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+ | 0.7149 | 110.0083 | 1776 | 1.9237 | 0.5355 |
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+ | 0.7341 | 111.0083 | 1792 | 1.9047 | 0.5433 |
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+ | 0.7101 | 112.0083 | 1808 | 1.9010 | 0.5433 |
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+ | 0.764 | 113.0083 | 1824 | 1.9024 | 0.5455 |
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+ | 0.667 | 114.0083 | 1840 | 1.9041 | 0.5476 |
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+ | 0.7465 | 115.0083 | 1856 | 1.9006 | 0.5483 |
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+ | 0.6935 | 116.0083 | 1872 | 1.9016 | 0.5462 |
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+ | 0.7306 | 117.0083 | 1888 | 1.9009 | 0.5483 |
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+ | 0.6578 | 118.0083 | 1904 | 1.9008 | 0.5483 |
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+ | 0.6427 | 119.0083 | 1920 | 1.9014 | 0.5504 |
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175
 
176
  ### Framework versions
177
 
178
  - Transformers 4.48.0
179
+ - Pytorch 2.5.1+cu118
180
  - Datasets 3.2.0
181
  - Tokenizers 0.21.0
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runs/Jan16_11-24-13_GAN-SVR/events.out.tfevents.1737080111.GAN-SVR.864097.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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