videomae-base-finetuned-04-21-finetuned-05-26-finetuned-06-12
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7016
- Accuracy: 0.5230
- Precision: 0.2735
- Recall: 0.5230
- F1: 0.3592
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: 384
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|
| 0.7187 | 0.2526 | 97 | 0.6909 | 0.5467 | 0.6617 | 0.5467 | 0.4002 |
| 0.6796 | 1.2526 | 194 | 0.6890 | 0.5382 | 0.5214 | 0.5382 | 0.4089 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
