CTMAE-P2-V4-S1
This model is a fine-tuned version of MCG-NJU/videomae-large-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7784
- Accuracy: 0.8696
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 6500
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6464 | 0.0202 | 131 | 0.8455 | 0.5435 |
0.4219 | 1.0202 | 262 | 2.1245 | 0.5435 |
1.1348 | 2.0202 | 393 | 2.1033 | 0.5435 |
0.7407 | 3.0202 | 524 | 0.8223 | 0.5435 |
1.2791 | 4.0202 | 655 | 1.5891 | 0.5435 |
0.8313 | 5.0202 | 786 | 1.4843 | 0.5435 |
1.0405 | 6.0202 | 917 | 1.5994 | 0.5435 |
1.5845 | 7.0202 | 1048 | 1.0656 | 0.5435 |
0.7645 | 8.0202 | 1179 | 1.7169 | 0.5435 |
0.9242 | 9.0202 | 1310 | 1.1991 | 0.5435 |
0.9458 | 10.0202 | 1441 | 1.6688 | 0.5435 |
0.7963 | 11.0202 | 1572 | 1.4274 | 0.5435 |
0.6725 | 12.0202 | 1703 | 0.6368 | 0.5652 |
0.6568 | 13.0202 | 1834 | 1.1090 | 0.5435 |
1.0769 | 14.0202 | 1965 | 1.7989 | 0.5435 |
0.2657 | 15.0202 | 2096 | 0.7522 | 0.6304 |
0.6413 | 16.0202 | 2227 | 1.5062 | 0.5435 |
0.7469 | 17.0202 | 2358 | 0.9307 | 0.5870 |
0.6873 | 18.0202 | 2489 | 0.4671 | 0.7174 |
0.8322 | 19.0202 | 2620 | 1.0945 | 0.6522 |
0.3899 | 20.0202 | 2751 | 0.8506 | 0.6739 |
0.8377 | 21.0202 | 2882 | 0.8038 | 0.6957 |
0.7089 | 22.0202 | 3013 | 0.8173 | 0.6522 |
0.6477 | 23.0202 | 3144 | 0.5239 | 0.7826 |
0.7071 | 24.0202 | 3275 | 0.7577 | 0.7826 |
0.468 | 25.0202 | 3406 | 1.1352 | 0.7174 |
0.6235 | 26.0202 | 3537 | 0.7960 | 0.7609 |
0.2239 | 27.0202 | 3668 | 1.2848 | 0.6957 |
0.3065 | 28.0202 | 3799 | 1.0995 | 0.7391 |
0.5603 | 29.0202 | 3930 | 0.8299 | 0.7391 |
0.4514 | 30.0202 | 4061 | 0.5079 | 0.8261 |
0.3525 | 31.0202 | 4192 | 0.6861 | 0.7174 |
0.0011 | 32.0202 | 4323 | 1.1933 | 0.7391 |
0.4758 | 33.0202 | 4454 | 0.8103 | 0.7826 |
0.5178 | 34.0202 | 4585 | 0.8117 | 0.7826 |
0.3839 | 35.0202 | 4716 | 0.7044 | 0.8261 |
0.0296 | 36.0202 | 4847 | 0.7980 | 0.8043 |
0.6077 | 37.0202 | 4978 | 0.8048 | 0.8478 |
0.0009 | 38.0202 | 5109 | 0.7784 | 0.8696 |
0.6204 | 39.0202 | 5240 | 0.8538 | 0.8261 |
0.0006 | 40.0202 | 5371 | 1.0553 | 0.7609 |
0.2712 | 41.0202 | 5502 | 0.9511 | 0.8261 |
0.0579 | 42.0202 | 5633 | 0.9046 | 0.8478 |
0.0003 | 43.0202 | 5764 | 1.5329 | 0.6957 |
0.0002 | 44.0202 | 5895 | 1.0590 | 0.7826 |
0.4781 | 45.0202 | 6026 | 0.8769 | 0.8478 |
0.0706 | 46.0202 | 6157 | 0.9025 | 0.8261 |
0.0024 | 47.0202 | 6288 | 0.8750 | 0.8261 |
0.0153 | 48.0202 | 6419 | 0.8643 | 0.8696 |
0.0004 | 49.0125 | 6500 | 0.8715 | 0.8478 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for beingbatman/CTMAE-P2-V4-S1
Base model
MCG-NJU/videomae-large-finetuned-kinetics