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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-base |
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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-finetuned-ucf101-subset-SBDtoy |
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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-finetuned-ucf101-subset-SBDtoy |
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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: 1.8346 |
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- Accuracy: 0.6275 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 1200 |
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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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| 0.7634 | 0.03 | 41 | 0.6320 | 0.5882 | |
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| 0.7445 | 1.03 | 82 | 1.4198 | 0.5686 | |
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| 0.4931 | 2.03 | 123 | 1.3689 | 0.5686 | |
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| 0.7206 | 3.03 | 164 | 1.3282 | 0.5882 | |
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| 0.735 | 4.03 | 205 | 2.0849 | 0.5686 | |
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| 1.769 | 5.03 | 246 | 1.0332 | 0.6078 | |
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| 0.9494 | 6.03 | 287 | 2.1307 | 0.6078 | |
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| 0.3857 | 7.03 | 328 | 2.5985 | 0.6078 | |
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| 0.3639 | 8.03 | 369 | 2.2300 | 0.6078 | |
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| 0.6456 | 9.03 | 410 | 1.8992 | 0.6078 | |
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| 0.9483 | 10.03 | 451 | 1.9556 | 0.6078 | |
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| 0.4518 | 11.03 | 492 | 1.8346 | 0.6275 | |
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| 0.9109 | 12.03 | 533 | 1.9937 | 0.6078 | |
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| 0.5441 | 13.03 | 574 | 1.4013 | 0.6078 | |
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| 0.4035 | 14.03 | 615 | 1.9078 | 0.6078 | |
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| 0.1713 | 15.03 | 656 | 2.0803 | 0.5882 | |
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| 0.0542 | 16.03 | 697 | 2.5432 | 0.6078 | |
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| 0.3084 | 17.03 | 738 | 2.5753 | 0.6078 | |
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| 0.2476 | 18.03 | 779 | 2.4253 | 0.6275 | |
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| 0.006 | 19.03 | 820 | 2.4320 | 0.6078 | |
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| 0.0021 | 20.03 | 861 | 2.7182 | 0.6078 | |
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| 0.008 | 21.03 | 902 | 2.7711 | 0.5882 | |
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| 0.0011 | 22.03 | 943 | 2.8089 | 0.5882 | |
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| 0.7546 | 23.03 | 984 | 2.8142 | 0.6078 | |
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| 0.0006 | 24.03 | 1025 | 2.8796 | 0.6078 | |
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| 0.0008 | 25.03 | 1066 | 2.8486 | 0.6078 | |
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| 0.1745 | 26.03 | 1107 | 2.8475 | 0.6078 | |
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| 0.5421 | 27.03 | 1148 | 2.8462 | 0.6078 | |
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| 0.1233 | 28.03 | 1189 | 2.8324 | 0.6078 | |
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| 0.1298 | 29.01 | 1200 | 2.8332 | 0.6078 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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