vivit-b-16x2-kinetics400-finetuned-ucf101-subset
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0847
- Accuracy: 0.9770
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: 4
- eval_batch_size: 4
- 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: 375
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.327 | 0.8 | 300 | 0.0413 | 0.9730 |
| 0.0028 | 1.2 | 375 | 0.0248 | 0.9730 |
Framework versions
- Transformers 4.47.1
- Pytorch 1.13.1+cu117
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for khaliiishah/vivit-b-16x2-kinetics400-finetuned-ucf101-subset
Base model
google/vivit-b-16x2-kinetics400