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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-base |
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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-URFall |
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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-URFall |
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1003 |
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- Accuracy: 0.9722 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 11650 |
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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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| 2.1435 | 0.1 | 1165 | 2.2165 | 0.4536 | |
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| 0.8432 | 1.1 | 2330 | 0.7595 | 0.8010 | |
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| 0.4293 | 2.1 | 3495 | 0.5219 | 0.8578 | |
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| 0.2377 | 3.1 | 4660 | 0.3852 | 0.8972 | |
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| 0.1604 | 4.1 | 5825 | 0.2505 | 0.9349 | |
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| 0.0418 | 5.1 | 6990 | 0.2070 | 0.9431 | |
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| 0.0048 | 6.1 | 8155 | 0.1811 | 0.9520 | |
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| 0.0051 | 7.1 | 9320 | 0.1311 | 0.9634 | |
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| 0.0012 | 8.1 | 10485 | 0.1096 | 0.9698 | |
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| 0.0857 | 9.1 | 11650 | 0.1003 | 0.9722 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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