RALL RGBCROP Aug16F 8B16F GACWDlr

--- 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: RALL_RGBCROP_Aug16F-8B16F-GACWDlr 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. --> # RALL_RGBCROP_Aug16F-8B16F-GACWDlr 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: 0.7229 - Accuracy: 0.8373 ## 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: 1e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.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: 0.1 - training_steps: 3462 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.5481 | 0.0416 | 144 | 0.6080 | 0.6789 | | 0.2418 | 1.0416 | 288 | 0.4781 | 0.7894 | | 0.0655 | 2.0416 | 432 | 0.6226 | 0.7935 | | 0.0138 | 3.0416 | 576 | 0.8833 | 0.8078 | | 0.0009 | 4.0416 | 720 | 0.9930 | 0.8057 | | 0.0005 | 5.0416 | 864 | 1.0640 | 0.8098 | | 0.0003 | 6.0416 | 1008 | 1.1921 | 0.7914 | | 0.0002 | 7.0416 | 1152 | 1.2267 | 0.7996 | | 0.0002 | 8.0416 | 1296 | 1.2773 | 0.7914 | | 0.0001 | 9.0416 | 1440 | 1.3020 | 0.7996 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1

Source context: 3 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo TanAlexanderlz/RALL_RGBCROP_Aug16F-8B16F-GACWDlr