--- license: cc-by-nc-4.0 base_model: sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-N results: [] --- # videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-N This model is a fine-tuned version of [sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset](https://huggingface.co/sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6134 - Accuracy: 0.8358 ## 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: 2 - eval_batch_size: 2 - 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: 171 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.9407 | 0.33 | 57 | 0.7452 | 0.8022 | | 0.4492 | 1.33 | 114 | 0.8826 | 0.8022 | | 0.3679 | 2.33 | 171 | 0.7072 | 0.8022 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Tokenizers 0.15.0