9_mae_4
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: 0.4857
- Accuracy: 0.8667
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: 4
- eval_batch_size: 4
- 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: 9700
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6583 | 0.0201 | 195 | 0.7953 | 0.4667 |
0.6439 | 1.0201 | 390 | 0.7813 | 0.4667 |
0.5285 | 2.0201 | 585 | 0.5919 | 0.8 |
0.3275 | 3.0201 | 780 | 0.5570 | 0.6222 |
0.5265 | 4.0201 | 975 | 0.7656 | 0.7333 |
0.3472 | 5.0201 | 1170 | 1.0666 | 0.5556 |
0.3978 | 6.0201 | 1365 | 0.7593 | 0.7333 |
0.5104 | 7.0201 | 1560 | 0.6972 | 0.7111 |
0.5969 | 8.0201 | 1755 | 0.5279 | 0.7778 |
0.5841 | 9.0201 | 1950 | 0.6547 | 0.8 |
0.4973 | 10.0201 | 2145 | 0.5363 | 0.7556 |
0.3399 | 11.0201 | 2340 | 1.0321 | 0.6667 |
0.2955 | 12.0201 | 2535 | 1.2320 | 0.6 |
0.5854 | 13.0201 | 2730 | 1.3658 | 0.7333 |
0.153 | 14.0201 | 2925 | 1.0651 | 0.7333 |
0.3668 | 15.0201 | 3120 | 0.5162 | 0.7333 |
0.2628 | 16.0201 | 3315 | 0.7342 | 0.8 |
0.5817 | 17.0201 | 3510 | 0.4857 | 0.8667 |
0.7572 | 18.0201 | 3705 | 0.4588 | 0.8222 |
0.4044 | 19.0201 | 3900 | 1.1526 | 0.7111 |
0.5366 | 20.0201 | 4095 | 1.3653 | 0.6667 |
0.5051 | 21.0201 | 4290 | 0.6016 | 0.8222 |
0.3338 | 22.0201 | 4485 | 0.7427 | 0.8222 |
0.7609 | 23.0201 | 4680 | 0.6195 | 0.8667 |
0.2756 | 24.0201 | 4875 | 0.9184 | 0.8 |
0.2845 | 25.0201 | 5070 | 1.1702 | 0.7333 |
0.3813 | 26.0201 | 5265 | 0.7869 | 0.8444 |
0.1671 | 27.0201 | 5460 | 0.8510 | 0.8222 |
0.3501 | 28.0201 | 5655 | 1.3892 | 0.7111 |
0.5373 | 29.0201 | 5850 | 1.8380 | 0.6667 |
0.0084 | 30.0201 | 6045 | 0.9612 | 0.8222 |
0.6559 | 31.0201 | 6240 | 1.5071 | 0.7111 |
0.5831 | 32.0201 | 6435 | 1.5741 | 0.7556 |
0.0256 | 33.0201 | 6630 | 1.6111 | 0.7333 |
0.4461 | 34.0201 | 6825 | 0.7689 | 0.8222 |
0.0307 | 35.0201 | 7020 | 0.6986 | 0.8667 |
0.0007 | 36.0201 | 7215 | 1.4886 | 0.7778 |
0.0672 | 37.0201 | 7410 | 1.4161 | 0.7778 |
0.0106 | 38.0201 | 7605 | 1.1670 | 0.8 |
0.0009 | 39.0201 | 7800 | 1.0056 | 0.8222 |
0.5082 | 40.0201 | 7995 | 0.8138 | 0.8222 |
0.143 | 41.0201 | 8190 | 0.9801 | 0.8444 |
0.3104 | 42.0201 | 8385 | 1.0276 | 0.8 |
0.2251 | 43.0201 | 8580 | 1.2434 | 0.7556 |
0.2293 | 44.0201 | 8775 | 1.2502 | 0.7778 |
0.1605 | 45.0201 | 8970 | 1.0620 | 0.7778 |
0.1764 | 46.0201 | 9165 | 1.3246 | 0.7556 |
0.0096 | 47.0201 | 9360 | 1.3971 | 0.7778 |
0.0002 | 48.0201 | 9555 | 1.3673 | 0.7778 |
0.001 | 49.0149 | 9700 | 1.4292 | 0.7556 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0
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Base model
MCG-NJU/videomae-large-finetuned-kinetics