Videomae Base Finetuned Kinetics 0403 Final Bbox

--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base-finetuned-kinetics tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-kinetics-0403_final_bbox 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-base-finetuned-kinetics-0403_final_bbox This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5415 - Accuracy: 0.8825 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use 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: 0.05 - training_steps: 72700 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 0.4207 | 0.0081 | 586 | 0.5703 | 0.8194 | | 0.0658 | 1.0081 | 1172 | 0.5223 | 0.8290 | | 0.3387 | 2.0081 | 1758 | 0.8277 | 0.7941 | | 0.0114 | 3.0081 | 2344 | 1.0723 | 0.7644 | | 0.0012 | 4.0081 | 2930 | 0.5579 | 0.8796 | | 0.0163 | 5.0081 | 3516 | 0.5938 | 0.8604 | | 0.0053 | 6.0081 | 4102 | 0.8841 | 0.8255 | | 0.0169 | 7.0081 | 4688 | 0.7273 | 0.8351 | | 0.0008 | 8.0081 | 5274 | 0.6533 | 0.8429 | | 0.0002 | 9.0081 | 5860 | 0.6399 | 0.8700 | | 0.002 | 10.0081 | 6446 | 0.7419 | 0.8534 | | 0.0003 | 11.0081 | 7032 | 0.8681 | 0.8517 | | 0.0164 | 12.0081 | 7618 | 1.2278 | 0.7871 | | 0.0005 | 13.0081 | 8204 | 0.7640 | 0.8682 | | 0.001 | 14.0081 | 8790 | 0.8386 | 0.8325 | | 0.0087 | 15.0081 | 9376 | 1.0503 | 0.8072 | | 0.0003 | 16.0081 | 9962 | 1.2313 | 0.8159 | | 1.0076 | 17.0081 | 10548 | 0.9149 | 0.8508 | | 0.0001 | 18.0081 | 11134 | 1.3930 | 0.7932 | | 0.0007 | 19.0081 | 11720 | 1.3484 | 0.8037 | ### Framework versions - Transf...