videomae-small-finetuned-kinetics-finetuned-ucf101-subset-finetuned-after_colour_augmentation
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2364
- Accuracy: 0.9174
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.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: 1130
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 0.3858 | 0.2009 | 227 | 0.2481 | 0.9245 |
| 0.2848 | 1.2009 | 454 | 0.2231 | 0.9259 |
| 0.2836 | 2.2009 | 681 | 0.2198 | 0.9298 |
| 0.3492 | 3.2009 | 908 | 0.2207 | 0.9305 |
| 0.2931 | 4.1965 | 1130 | 0.2205 | 0.9302 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
