Videomae Base Finetuned Kinetics Allkisa Crop Background 0228

--- 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-0228 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-0228 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: 0.3129 - Accuracy: 0.9163 ## 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: 10560 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:----:|:---------------:|:--------:| | 0.0035 | 0.0251 | 265 | 0.7057 | 0.7302 | | 0.0047 | 1.0251 | 530 | 0.6369 | 0.7840 | | 0.3625 | 2.0251 | 795 | 1.0777 | 0.7099 | | 0.017 | 3.0251 | 1060 | 1.1492 | 0.6145 | | 0.0001 | 4.0251 | 1325 | 0.5946 | 0.8394 | | 0.0006 | 5.0251 | 1590 | 0.4763 | 0.8134 | | 0.0036 | 6.0251 | 1855 | 0.4798 | 0.8093 | | 0.0286 | 7.0251 | 2120 | 0.6486 | 0.8191 | | 0.0003 | 8.0251 | 2385 | 0.8464 | 0.7775 | | 0.0001 | 9.0251 | 2650 | 0.6891 | 0.8174 | | 0.0003 | 10.0251 | 2915 | 0.5298 | 0.8582 | | 0.0003 | 11.0251 | 3180 | 0.7832 | 0.8289 | | 0.0 | 12.0251 | 3445 | 0.7445 | 0.8215 | | 0.0 | 13.0251 | 3710 | 0.6594 | 0.8419 | | 0.0 | 14.0251 | 3975 | 0.7089 | 0.8297 | | 0.0001 | 15.0251 | 4240 | 0.6542 | 0.8509 | | 0.0 | 16.0251 | 4505 | 0.7677 | 0.8346 | | 0.0 | 17.0251 | 4770 | 0.8255 | 0.8183 | | 0.0011 | 18.0251 | 5035 | 0.7238 | 0.8378 | | 0.0001 | 19.0251 | 5300 | 0.7826 | 0.8329 | | 0.0001 | 20.0251 | 5565 |...