| --- |
| license: cc-by-nc-4.0 |
| base_model: MCG-NJU/videomae-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: VideoMAE-URFall_MultipleCameraFall_UnrealFallDataset |
| 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-URFall_MultipleCameraFall_UnrealFallDataset |
|
|
| 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: 0.1020 |
| - Accuracy: 0.9717 |
|
|
| ## 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: 12000 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 1.9074 | 0.1 | 1201 | 2.1151 | 0.5007 | |
| | 0.8521 | 1.1 | 2402 | 0.8536 | 0.7784 | |
| | 0.3171 | 2.1 | 3603 | 0.6226 | 0.8360 | |
| | 0.1523 | 3.1 | 4804 | 0.3766 | 0.8986 | |
| | 0.1122 | 4.1 | 6005 | 0.2525 | 0.9274 | |
| | 0.0261 | 5.1 | 7206 | 0.2098 | 0.9429 | |
| | 0.0707 | 6.1 | 8407 | 0.1900 | 0.9495 | |
| | 0.0038 | 7.1 | 9608 | 0.1314 | 0.9657 | |
| | 0.0009 | 8.1 | 10809 | 0.1177 | 0.9677 | |
| | 0.0011 | 9.1 | 12000 | 0.1020 | 0.9717 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.38.0.dev0 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
| |
