videomae-base-finetuned-ucfcrimepre
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6006
- Accuracy: 0.5685
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 328
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9467 | 0.2530 | 83 | 2.1566 | 0.2245 |
| 1.5504 | 1.2530 | 166 | 2.1364 | 0.2843 |
| 1.7049 | 2.2530 | 249 | 2.3915 | 0.2868 |
| 1.1891 | 3.2409 | 328 | 2.0801 | 0.3292 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for shahadalll/videomae-base-finetuned-ucfcrimepre
Base model
MCG-NJU/videomae-base