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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-final-contest |
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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 |
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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: 0.6795 |
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- Accuracy: 0.8458 |
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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: 2464 |
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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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| 1.0054 | 0.0913 | 225 | 0.9635 | 0.7764 | |
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| 0.3981 | 1.0913 | 450 | 0.7286 | 0.7747 | |
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| 0.1595 | 2.0913 | 675 | 0.6008 | 0.8215 | |
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| 0.0302 | 3.0913 | 900 | 0.7152 | 0.8024 | |
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| 0.015 | 4.0913 | 1125 | 0.7613 | 0.7903 | |
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| 0.0019 | 5.0913 | 1350 | 0.6450 | 0.8354 | |
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| 0.0037 | 6.0913 | 1575 | 0.5948 | 0.8510 | |
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| 0.0037 | 7.0913 | 1800 | 0.6545 | 0.8354 | |
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| 0.0005 | 8.0913 | 2025 | 0.6526 | 0.8440 | |
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| 0.0005 | 9.0913 | 2250 | 0.6803 | 0.8458 | |
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| 0.0004 | 10.0869 | 2464 | 0.6795 | 0.8458 | |
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### Framework versions |
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- Transformers 4.40.1 |
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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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