vivit-b-16x2-kinetics400-finetuned-NORMALLLLAbnormalVideosOnly
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: 0.7007
- Accuracy: 0.6194
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: 402
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6113 | 0.5025 | 202 | 0.7161 | 0.6013 |
| 0.6063 | 1.4975 | 402 | 0.7007 | 0.6194 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.1.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Prabesh06/vivit-b-16x2-kinetics400-finetuned-NORMALLLLAbnormalVideosOnly
Base model
google/vivit-b-16x2-kinetics400