videomae-base-finetuned-04-21-finetuned-05-26
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7192
- Accuracy: 0.5227
- Precision: 0.2732
- Recall: 0.5227
- F1: 0.0
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: 8
- eval_batch_size: 8
- 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: 156
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|
| 0.7077 | 0.2564 | 40 | 0.7046 | 0.4868 | 0.7518 | 0.4868 | 0.6519 |
| 0.6863 | 1.2564 | 80 | 0.7249 | 0.5195 | 0.2698 | 0.5195 | 0.0 |
| 0.6996 | 2.2564 | 120 | 0.7043 | 0.4005 | 0.3880 | 0.4005 | 0.2861 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
