--- library_name: transformers license: mit base_model: google/vivit-b-16x2-kinetics400 tags: - generated_from_trainer model-index: - name: vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_NEW_1 results: [] --- # vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_NEW_1 This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset. ## 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-06 - train_batch_size: 1 - eval_batch_size: 1 - 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 - training_steps: 5800 ### Framework versions - Transformers 4.47.1 - Pytorch 1.13.1+cu117 - Datasets 3.2.0 - Tokenizers 0.21.0