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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-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-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: 0.1096 |
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- Accuracy: 0.9733 |
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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: 11770 |
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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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| 1.8643 | 0.1 | 1178 | 2.1285 | 0.5080 | |
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| 0.743 | 1.1 | 2356 | 1.1040 | 0.6968 | |
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| 0.2881 | 2.1 | 3534 | 0.4485 | 0.8779 | |
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| 0.1943 | 3.1 | 4712 | 0.4007 | 0.8871 | |
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| 0.08 | 4.1 | 5890 | 0.2446 | 0.9381 | |
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| 0.0666 | 5.1 | 7068 | 0.3504 | 0.9131 | |
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| 0.0825 | 6.1 | 8246 | 0.2022 | 0.9470 | |
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| 0.0059 | 7.1 | 9424 | 0.1628 | 0.9607 | |
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| 0.0648 | 8.1 | 10602 | 0.1387 | 0.9639 | |
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| 0.002 | 9.1 | 11770 | 0.1096 | 0.9733 | |
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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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