Videomae Base Finetuned Kinetics 0403 Final Only5sec

--- 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_only5sec 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_only5sec 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: 0.9866 - Accuracy: 0.7954 ## 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: 62100 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 0.0258 | 0.0100 | 622 | 0.3408 | 0.8950 | | 0.0148 | 1.0100 | 1244 | 0.3555 | 0.8603 | | 0.0013 | 2.0100 | 1866 | 0.5279 | 0.8754 | | 0.0044 | 3.0100 | 2488 | 0.8037 | 0.8283 | | 0.0127 | 4.0100 | 3110 | 0.6375 | 0.8461 | | 1.0048 | 5.0100 | 3732 | 1.2457 | 0.7811 | | 0.0006 | 6.0100 | 4354 | 0.7576 | 0.8292 | | 0.0003 | 7.0100 | 4976 | 0.4766 | 0.8968 | | 0.0027 | 8.0100 | 5598 | 0.6147 | 0.8496 | | 0.0012 | 9.0100 | 6220 | 0.6214 | 0.8345 | | 0.0157 | 10.0100 | 6842 | 0.6998 | 0.8514 | | 0.0099 | 11.0100 | 7464 | 1.1907 | 0.7847 | | 0.0537 | 12.0100 | 8086 | 1.2955 | 0.8043 | | 0.0001 | 13.0100 | 8708 | 1.1235 | 0.7972 | | 0.0007 | 14.0100 | 9330 | 1.3138 | 0.7900 | | 0.0028 | 15.0100 | 9952 | 1.0310 | 0.8221 | | 0.0008 | 16.0100 | 10574 | 0.8199 | 0.8514 | | 0.015 | 17.0100 | 11196 | 0.5774 | 0.8852 | | 0.0002 | 18.0100 | 11818 | 0.9953 | 0.8407 | | 0.6463 | 19.0100 | 12440 | 1.2704 | 0.8132 | | 0.0001 | 20.0100 | 13...