Videomae Base Finetuned Kinetics 0313 Clip Duration Abnormal09 Shortsidescale

--- 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-0313-clip_duration-abnormal09_shortsidescale 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-0313-clip_duration-abnormal09_shortsidescale 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: 0.2084 - Accuracy: 0.9553 ## 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: 31000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:----:|:---------------:|:--------:| | 0.0055 | 0.0100 | 311 | 0.3958 | 0.8691 | | 0.0753 | 1.0100 | 622 | 0.3683 | 0.8708 | | 0.0109 | 2.0100 | 933 | 0.3968 | 0.8643 | | 0.0617 | 3.0100 | 1244 | 0.3480 | 0.8659 | | 0.1567 | 4.0100 | 1555 | 0.4075 | 0.8449 | | 0.6073 | 5.0100 | 1866 | 0.3312 | 0.8788 | | 0.0055 | 6.0100 | 2177 | 0.4617 | 0.8659 | | 0.0007 | 7.0100 | 2488 | 0.4995 | 0.8708 | | 0.0145 | 8.0100 | 2799 | 0.5133 | 0.8174 | | 0.0381 | 9.0100 | 3110 | 0.4475 | 0.8659 | | 0.2152 | 10.0100 | 3421 | 0.6625 | 0.8498 | | 0.0032 | 11.0100 | 3732 | 0.5294 | 0.8643 | | 0.049 | 12.0100 | 4043 | 0.4688 | 0.8724 | | 0.0004 | 13.0100 | 4354 | 0.5969 | 0.8611 | | 0.0754 | 14.0100 | 4665 | 0.5157 | 0.8901 | | 0.0043 | 15.0100 | 4976 | 0.5309 | 0.8756 | | 0.0001 | 16.0100 | 5287 | 0.6341 | 0.8756 | | 0.0002 | 17.0100 | 5598 | 0.5637 | 0.8982 | | 0.0002 | 18.0100 | 5909 | 0.6114 | 0.8901 | | 0.0002 | 19.0100 | 6220...