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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_MultipleCameraFall_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_MultipleCameraFall_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: 0.1020 |
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- Accuracy: 0.9717 |
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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: 12000 |
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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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| 1.9074 | 0.1 | 1201 | 2.1151 | 0.5007 | |
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| 0.8521 | 1.1 | 2402 | 0.8536 | 0.7784 | |
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| 0.3171 | 2.1 | 3603 | 0.6226 | 0.8360 | |
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| 0.1523 | 3.1 | 4804 | 0.3766 | 0.8986 | |
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| 0.1122 | 4.1 | 6005 | 0.2525 | 0.9274 | |
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| 0.0261 | 5.1 | 7206 | 0.2098 | 0.9429 | |
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| 0.0707 | 6.1 | 8407 | 0.1900 | 0.9495 | |
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| 0.0038 | 7.1 | 9608 | 0.1314 | 0.9657 | |
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| 0.0009 | 8.1 | 10809 | 0.1177 | 0.9677 | |
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| 0.0011 | 9.1 | 12000 | 0.1020 | 0.9717 | |
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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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