Videomae Large Finetuned Kinetics Finetuned Ucf101 Subset

--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-large-finetuned-kinetics tags: - generated_from_trainer model-index: - name: videomae-large-finetuned-kinetics-finetuned-ucf101-subset results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # videomae-large-finetuned-kinetics-finetuned-ucf101-subset This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 0.0805 - eval_accuracy: 0.9924 - eval_runtime: 36.136 - eval_samples_per_second: 28.946 - eval_steps_per_second: 0.249 - epoch: 37.0225 - step: 342 ## 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: 1e-05 - train_batch_size: 16 - eval_batch_size: 128 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 128 - 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: cosine - lr_scheduler_warmup_ratio: 0.1 - lr_scheduler_warmup_steps: 100 - training_steps: 400 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.57.3 - Pytorch 2.9.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 374 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo sano90/videomae-large-finetuned-kinetics-finetuned-ucf101-subset

Source context: 55 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo sano90/videomae-large-finetuned-kinetics-finetuned-ucf101-subset