--- license: mit base_model: google/vivit-b-16x2-kinetics400 tags: - generated_from_trainer model-index: - name: vivit-b-16x2-kinetics400-finetuned-ucf101-subset results: [] --- # vivit-b-16x2-kinetics400-finetuned-ucf101-subset 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-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: 20 ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.2+cpu - Datasets 2.16.0 - Tokenizers 0.15.0