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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_UnrealFallDataset |
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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_UnrealFallDataset |
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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: 0.1220 |
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- Accuracy: 0.9691 |
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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: 11820 |
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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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| 2.2186 | 0.1 | 1183 | 2.0737 | 0.5172 | |
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| 0.8664 | 1.1 | 2366 | 0.6972 | 0.8211 | |
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| 0.3324 | 2.1 | 3549 | 0.6007 | 0.8372 | |
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| 0.1919 | 3.1 | 4732 | 0.5145 | 0.8651 | |
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| 0.1457 | 4.1 | 5915 | 0.2822 | 0.9221 | |
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| 0.0996 | 5.1 | 7098 | 0.2434 | 0.9359 | |
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| 0.0159 | 6.1 | 8281 | 0.1729 | 0.9547 | |
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| 0.0018 | 7.1 | 9464 | 0.1307 | 0.9649 | |
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| 0.001 | 8.1 | 10647 | 0.1524 | 0.9640 | |
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| 0.0013 | 9.1 | 11820 | 0.1220 | 0.9691 | |
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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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