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: 0.4339
- Accuracy: 0.8429
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: 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: 148
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Accuracy |
| 2.1071 |
0.2568 |
38 |
1.8574 |
0.2714 |
| 1.0387 |
1.2568 |
76 |
0.9456 |
0.8 |
| 0.4169 |
2.2568 |
114 |
0.6413 |
0.7857 |
| 0.2935 |
3.2297 |
148 |
0.4339 |
0.8429 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
