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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: videomae-base-ipm_all_videos |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# videomae-base-ipm_all_videos |
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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: 0.4713 |
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- Accuracy: 0.8559 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 3600 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.7831 | 0.02 | 60 | 1.8965 | 0.1186 | |
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| 1.7706 | 1.02 | 120 | 1.9115 | 0.1186 | |
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| 1.7497 | 2.02 | 180 | 1.8985 | 0.1356 | |
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| 1.5214 | 3.02 | 240 | 1.4807 | 0.3475 | |
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| 1.1458 | 4.02 | 300 | 1.7024 | 0.3559 | |
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| 1.1587 | 5.02 | 360 | 1.6771 | 0.2966 | |
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| 0.9256 | 6.02 | 420 | 1.6428 | 0.3814 | |
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| 1.265 | 7.02 | 480 | 1.5169 | 0.5 | |
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| 0.8271 | 8.02 | 540 | 1.0310 | 0.5847 | |
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| 0.6011 | 9.02 | 600 | 1.1739 | 0.5508 | |
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| 0.9542 | 10.02 | 660 | 1.3323 | 0.5424 | |
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| 1.1231 | 11.02 | 720 | 1.4279 | 0.4915 | |
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| 0.728 | 12.02 | 780 | 2.1913 | 0.4661 | |
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| 0.5991 | 13.02 | 840 | 1.1088 | 0.6271 | |
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| 1.0613 | 14.02 | 900 | 1.3781 | 0.5 | |
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| 0.9121 | 15.02 | 960 | 1.4224 | 0.5424 | |
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| 0.6083 | 16.02 | 1020 | 0.8779 | 0.6695 | |
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| 0.408 | 17.02 | 1080 | 0.8512 | 0.7119 | |
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| 0.3741 | 18.02 | 1140 | 0.8884 | 0.7034 | |
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| 0.8906 | 19.02 | 1200 | 1.1396 | 0.6017 | |
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| 0.568 | 20.02 | 1260 | 0.7380 | 0.6949 | |
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| 0.4135 | 21.02 | 1320 | 0.7966 | 0.6525 | |
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| 0.5492 | 22.02 | 1380 | 0.9815 | 0.6780 | |
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| 0.902 | 23.02 | 1440 | 0.9267 | 0.6441 | |
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| 0.6889 | 24.02 | 1500 | 1.4313 | 0.5763 | |
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| 0.788 | 25.02 | 1560 | 1.2156 | 0.5678 | |
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| 0.7324 | 26.02 | 1620 | 0.8015 | 0.6780 | |
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| 0.6733 | 27.02 | 1680 | 0.8682 | 0.6949 | |
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| 0.498 | 28.02 | 1740 | 0.8767 | 0.6949 | |
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| 0.5558 | 29.02 | 1800 | 0.9248 | 0.6780 | |
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| 0.5583 | 30.02 | 1860 | 1.1784 | 0.6356 | |
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| 0.3905 | 31.02 | 1920 | 1.0646 | 0.6864 | |
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| 0.3728 | 32.02 | 1980 | 0.8338 | 0.7797 | |
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| 0.5988 | 33.02 | 2040 | 0.8339 | 0.7542 | |
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| 0.3636 | 34.02 | 2100 | 0.7577 | 0.7627 | |
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| 0.505 | 35.02 | 2160 | 1.0310 | 0.6864 | |
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| 0.5344 | 36.02 | 2220 | 0.6345 | 0.7458 | |
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| 0.2814 | 37.02 | 2280 | 0.9954 | 0.7119 | |
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| 0.2187 | 38.02 | 2340 | 0.7515 | 0.7797 | |
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| 0.4876 | 39.02 | 2400 | 0.8392 | 0.7627 | |
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| 0.1148 | 40.02 | 2460 | 0.6182 | 0.8729 | |
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| 0.3139 | 41.02 | 2520 | 1.1651 | 0.6949 | |
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| 0.2638 | 42.02 | 2580 | 0.8299 | 0.7797 | |
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| 0.1989 | 43.02 | 2640 | 0.5943 | 0.8220 | |
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| 0.5473 | 44.02 | 2700 | 0.6514 | 0.8644 | |
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| 0.3921 | 45.02 | 2760 | 0.6708 | 0.8220 | |
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| 0.1756 | 46.02 | 2820 | 0.5431 | 0.8305 | |
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| 0.1089 | 47.02 | 2880 | 0.6040 | 0.8136 | |
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| 0.3616 | 48.02 | 2940 | 0.5281 | 0.8475 | |
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| 0.2752 | 49.02 | 3000 | 0.6430 | 0.8305 | |
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| 0.3847 | 50.02 | 3060 | 0.5640 | 0.8644 | |
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| 0.0909 | 51.02 | 3120 | 0.5178 | 0.8559 | |
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| 0.3426 | 52.02 | 3180 | 0.3770 | 0.8983 | |
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| 0.0516 | 53.02 | 3240 | 0.5365 | 0.8390 | |
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| 0.2133 | 54.02 | 3300 | 0.5919 | 0.8475 | |
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| 0.1382 | 55.02 | 3360 | 0.5112 | 0.8390 | |
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| 0.1803 | 56.02 | 3420 | 0.5173 | 0.8475 | |
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| 0.1352 | 57.02 | 3480 | 0.5207 | 0.8390 | |
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| 0.4445 | 58.02 | 3540 | 0.4763 | 0.8559 | |
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| 0.3249 | 59.02 | 3600 | 0.4713 | 0.8559 | |
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### Framework versions |
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- Transformers 4.29.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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