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: 0.0210
- 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0066 | 0.25 | 300 | 0.0056 | 1.0 |
| 0.001 | 1.25 | 600 | 0.1726 | 0.9730 |
| 0.0005 | 2.25 | 900 | 0.0032 | 1.0 |
| 0.0005 | 3.25 | 1200 | 0.0026 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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Base model
google/vivit-b-16x2-kinetics400