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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-data-no-yolo-colab |
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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-data-no-yolo-colab |
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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: 0.3187 |
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- Accuracy: 0.9237 |
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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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| 0.5766 | 0.09 | 188 | 0.7504 | 0.7956 | |
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| 0.4124 | 1.09 | 376 | 0.4797 | 0.8638 | |
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| 0.104 | 2.09 | 564 | 0.5037 | 0.8583 | |
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| 0.0652 | 3.09 | 752 | 0.5683 | 0.8556 | |
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| 0.0821 | 4.09 | 940 | 0.4314 | 0.8992 | |
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| 0.0015 | 5.09 | 1128 | 0.5824 | 0.8883 | |
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| 0.0024 | 6.09 | 1316 | 0.4310 | 0.8883 | |
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| 0.0007 | 7.09 | 1504 | 0.4375 | 0.8992 | |
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| 0.0007 | 8.09 | 1692 | 0.3199 | 0.9183 | |
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| 0.0006 | 9.09 | 1880 | 0.3189 | 0.9210 | |
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| 0.0006 | 10.09 | 2057 | 0.3187 | 0.9237 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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