videomae-base-finetuned-ucf101-subset
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: 0.3723
- Accuracy: 1.0
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: 16
- eval_batch_size: 16
- 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: 32
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.1562 | 5 | 0.7928 | 0.4615 |
| 0.6184 | 1.1562 | 10 | 0.6326 | 0.5385 |
| 0.6184 | 2.1562 | 15 | 0.3673 | 1.0 |
| 0.2951 | 3.1562 | 20 | 0.2900 | 0.8846 |
| 0.2951 | 4.1562 | 25 | 0.0307 | 1.0 |
| 0.0321 | 5.1562 | 30 | 0.0169 | 1.0 |
| 0.0321 | 6.0625 | 32 | 0.0156 | 1.0 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for xiaoluliu/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base