| --- |
| license: cc-by-nc-4.0 |
| base_model: MCG-NJU/videomae-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: VideoMAE-MultipleCameraFall |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # VideoMAE-MultipleCameraFall |
|
|
| This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0944 |
| - Accuracy: 0.9752 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - training_steps: 11770 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 1.801 | 0.1 | 1178 | 2.0143 | 0.5181 | |
| | 0.7407 | 1.1 | 2356 | 0.7707 | 0.8052 | |
| | 0.4488 | 2.1 | 3534 | 0.4310 | 0.8839 | |
| | 0.1402 | 3.1 | 4712 | 0.3790 | 0.8934 | |
| | 0.1608 | 4.1 | 5890 | 0.2916 | 0.9194 | |
| | 0.0133 | 5.1 | 7068 | 0.1776 | 0.9542 | |
| | 0.0806 | 6.1 | 8246 | 0.1715 | 0.9582 | |
| | 0.0132 | 7.1 | 9424 | 0.1474 | 0.9656 | |
| | 0.0017 | 8.1 | 10602 | 0.1038 | 0.9722 | |
| | 0.002 | 9.1 | 11770 | 0.0944 | 0.9752 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.38.0.dev0 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
| |
