Videomae Base Finetuned Kinetics Allkisa Crop Background 0311 Clip Duration Abnormal12

--- 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-allkisa-crop-background-0311-clip_duration-abnormal12 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-allkisa-crop-background-0311-clip_duration-abnormal12 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: 0.1913 - Accuracy: 0.9521 ## 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: 29600 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.7497 | 0.01 | 296 | 0.3402 | 0.8788 | | 0.1554 | 1.01 | 592 | 0.4850 | 0.8481 | | 0.1181 | 2.01 | 888 | 0.8904 | 0.7851 | | 0.6108 | 3.01 | 1184 | 0.4483 | 0.8772 | | 0.0009 | 4.01 | 1480 | 0.4471 | 0.8611 | | 0.3527 | 5.01 | 1776 | 0.6108 | 0.8336 | | 0.0845 | 6.01 | 2072 | 0.6113 | 0.8498 | | 0.5731 | 7.01 | 2368 | 0.6838 | 0.8255 | | 0.0085 | 8.01 | 2664 | 0.3924 | 0.9079 | | 0.0022 | 9.01 | 2960 | 0.5572 | 0.8740 | | 0.0011 | 10.01 | 3256 | 0.5516 | 0.8578 | | 0.0007 | 11.01 | 3552 | 0.4634 | 0.8869 | | 0.0056 | 12.01 | 3848 | 0.5271 | 0.8821 | | 0.0056 | 13.01 | 4144 | 0.6203 | 0.8675 | | 0.0002 | 14.01 | 4440 | 0.5221 | 0.8934 | | 0.0001 | 15.01 | 4736 | 0.5882 | 0.8885 | | 0.0001 | 16.01 | 5032 | 0.5987 | 0.8853 | | 0.0003 | 17.01 | 5328 | 0.5436 | 0.9031 | | 0.0082 | 18.01 | 5624 | 0.5575 | 0.8966 | ### Framework versions - Transformers 4.48.1...