--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-Badminton_strokes-finetuned-stroke-classification results: [] --- # videomae-base-Badminton_strokes-finetuned-stroke-classification This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5237 - Accuracy: 0.8442 ## 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: 24 - eval_batch_size: 24 - 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: 1225 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 1.2138 | 0.2008 | 246 | 1.4943 | 0.5123 | | 0.8947 | 1.2008 | 492 | 1.2374 | 0.6772 | | 0.5704 | 2.2008 | 738 | 1.2350 | 0.6871 | | 0.5847 | 3.2008 | 984 | 1.1260 | 0.7398 | | 0.4343 | 4.1967 | 1225 | 1.0476 | 0.7620 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu124 - Datasets 3.2.0 - Tokenizers 0.21.0