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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 |
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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 |
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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: 0.4130 |
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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: 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: 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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| 0.7036 | 0.09 | 165 | 1.0471 | 0.7005 | |
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| 0.4684 | 1.09 | 330 | 0.5678 | 0.8214 | |
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| 0.4301 | 2.09 | 495 | 0.7029 | 0.7857 | |
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| 0.1361 | 3.09 | 660 | 0.4828 | 0.8599 | |
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| 0.0118 | 4.09 | 825 | 0.5531 | 0.8324 | |
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| 0.0721 | 5.09 | 990 | 0.3536 | 0.8956 | |
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| 0.001 | 6.09 | 1155 | 0.4194 | 0.8929 | |
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| 0.0017 | 7.09 | 1320 | 0.3476 | 0.9038 | |
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| 0.0007 | 8.09 | 1485 | 0.4356 | 0.8819 | |
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| 0.0008 | 9.09 | 1650 | 0.4232 | 0.8874 | |
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| 0.0007 | 10.09 | 1804 | 0.4130 | 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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