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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-base-finetuned-kinetics |
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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-kinetics-final-contest-baole3-0705 |
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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-kinetics-final-contest-baole3-0705 |
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This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3846 |
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- Accuracy: 0.9083 |
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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: 9e-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: 2057 |
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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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| 0.7136 | 0.0914 | 188 | 0.9178 | 0.7615 | |
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| 0.0707 | 1.0914 | 376 | 0.5263 | 0.8303 | |
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| 0.1033 | 2.0914 | 564 | 0.4823 | 0.8670 | |
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| 0.0055 | 3.0914 | 752 | 0.4533 | 0.8945 | |
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| 0.0295 | 4.0914 | 940 | 0.4714 | 0.8807 | |
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| 0.0011 | 5.0914 | 1128 | 0.4415 | 0.8853 | |
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| 0.0013 | 6.0914 | 1316 | 0.4121 | 0.8853 | |
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| 0.0007 | 7.0914 | 1504 | 0.4474 | 0.8945 | |
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| 0.0008 | 8.0914 | 1692 | 0.3972 | 0.9083 | |
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| 0.0006 | 9.0914 | 1880 | 0.3841 | 0.9083 | |
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| 0.0005 | 10.0860 | 2057 | 0.3846 | 0.9083 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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