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--- |
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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-finetuned-round2-v2 |
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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-finetuned-round2-v2 |
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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: 0.3887 |
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- Accuracy: 0.8846 |
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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: 1804 |
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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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| 1.0866 | 0.09 | 165 | 1.3158 | 0.6758 | |
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| 0.2793 | 1.09 | 330 | 0.5707 | 0.8159 | |
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| 0.2073 | 2.09 | 495 | 0.5581 | 0.8269 | |
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| 0.0239 | 3.09 | 660 | 0.3737 | 0.8819 | |
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| 0.0041 | 4.09 | 825 | 0.4101 | 0.8901 | |
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| 0.0038 | 5.09 | 990 | 0.5469 | 0.8736 | |
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| 0.0022 | 6.09 | 1155 | 0.3599 | 0.9066 | |
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| 0.0018 | 7.09 | 1320 | 0.3992 | 0.8929 | |
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| 0.0012 | 8.09 | 1485 | 0.4096 | 0.8846 | |
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| 0.0043 | 9.09 | 1650 | 0.3938 | 0.8819 | |
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| 0.0014 | 10.09 | 1804 | 0.3887 | 0.8846 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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