Videomae Base Finetuned Kinetics 0407 Final 45sec Org

--- 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-0407_final_45sec_org 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-0407_final_45sec_org 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: 0.4184 - Accuracy: 0.8878 ## 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: 63500 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 0.2823 | 0.0100 | 636 | 0.2852 | 0.9142 | | 0.2102 | 1.0100 | 1272 | 0.6094 | 0.8533 | | 0.0022 | 2.0100 | 1908 | 0.2801 | 0.9077 | | 0.2891 | 3.0100 | 2544 | 0.1889 | 0.9465 | | 0.4101 | 4.0100 | 3180 | 0.1959 | 0.9299 | | 0.1031 | 5.0100 | 3816 | 0.3618 | 0.8930 | | 0.0792 | 6.0100 | 4452 | 0.3866 | 0.8939 | | 0.0043 | 7.0100 | 5088 | 0.3914 | 0.8976 | | 0.0075 | 8.0100 | 5724 | 0.3756 | 0.9105 | | 0.0004 | 9.0100 | 6360 | 0.2793 | 0.9290 | | 0.0033 | 10.0100 | 6996 | 0.3058 | 0.9290 | | 0.2739 | 11.0100 | 7632 | 0.2605 | 0.9382 | | 0.0009 | 12.0100 | 8268 | 0.3172 | 0.9188 | | 0.5263 | 13.0100 | 8904 | 0.6232 | 0.8662 | | 0.0001 | 14.0100 | 9540 | 0.5841 | 0.8921 | | 0.0004 | 15.0100 | 10176 | 0.3614 | 0.9114 | | 0.4972 | 16.0100 | 10812 | 0.4387 | 0.9087 | | 0.0007 | 17.0100 | 11448 | 0.3396 | 0.9317 | | 0.0001 | 18.0100 | 12084 | 0.4050 | 0.9161 | ### Framework versions - Transformers 4.48.0 - Pytorch 2.5.1+cu1...