videomae-base-finetuned-kinetics-finetuned-dcsass-shoplifting-subset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3803
- Accuracy: 0.8874
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: 4
- eval_batch_size: 4
- 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: 780
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3314 | 0.2013 | 157 | 0.6146 | 0.8219 |
| 0.3263 | 1.2013 | 314 | 0.6184 | 0.8288 |
| 0.6332 | 2.2013 | 471 | 0.4275 | 0.8425 |
| 0.0405 | 3.2013 | 628 | 0.7687 | 0.8425 |
| 0.1579 | 4.1949 | 780 | 0.5852 | 0.8562 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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