Videomae Base Finetuned Kinetics Finetuned Accident Dataset

--- 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-finetuned-Accident-dataset 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-finetuned-Accident-dataset 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: 0.0077 - Accuracy: 1.0 ## 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: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 392 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.5675 | 0.1276 | 50 | 0.2509 | 0.9126 | | 0.1471 | 1.1276 | 100 | 0.2354 | 0.9126 | | 0.022 | 2.1276 | 150 | 0.1293 | 0.9515 | | 0.0013 | 3.1276 | 200 | 0.0422 | 0.9806 | | 0.0009 | 4.1276 | 250 | 0.0173 | 0.9903 | | 0.0024 | 5.1276 | 300 | 0.0544 | 0.9806 | | 0.0376 | 6.1276 | 350 | 0.0447 | 0.9806 | | 0.0007 | 7.1071 | 392 | 0.0317 | 0.9806 | ### Framework versions - Transformers 4.57.1 - Pytorch 2.8.0+cu126 - Datasets 4.4.2 - Tokenizers 0.22.1

Source context: 14 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo esmaelehab/videomae-base-finetuned-kinetics-finetuned-Accident-dataset

Source context: 9 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo esmaelehab/videomae-base-finetuned-kinetics-finetuned-Accident-dataset