--- license: cc-by-nc-4.0 base_model: ahsanshahid2882/videomae-base-finetuned-sphar tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-sphar-finetuned-sphar results: [] --- # videomae-base-finetuned-sphar-finetuned-sphar This model is a fine-tuned version of [ahsanshahid2882/videomae-base-finetuned-sphar](https://huggingface.co/ahsanshahid2882/videomae-base-finetuned-sphar) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.8935 - Accuracy: 0.4664 ## 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: 0.0005 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 4412 ### Training results ### Framework versions - Transformers 4.41.2 - Pytorch 2.2.1+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1