Videomae Base Finetuned Kinetics 0328 Final 253259

--- 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-0328_final_253259 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-0328_final_253259 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: 0.5132 - Accuracy: 0.8633 ## 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: 72700 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 0.1593 | 0.0100 | 728 | 0.7166 | 0.7523 | | 0.0076 | 1.0100 | 1456 | 0.3380 | 0.9012 | | 0.0034 | 2.0100 | 2184 | 0.3450 | 0.9037 | | 0.0029 | 3.0100 | 2912 | 0.6705 | 0.8041 | | 0.0018 | 4.0100 | 3640 | 0.8537 | 0.8140 | | 0.1048 | 5.0100 | 4368 | 0.4160 | 0.8872 | | 0.0186 | 6.0100 | 5096 | 0.7927 | 0.8107 | | 0.0017 | 7.0100 | 5824 | 0.7084 | 0.8123 | | 0.0003 | 8.0100 | 6552 | 0.7571 | 0.8560 | | 0.003 | 9.0100 | 7280 | 0.4314 | 0.8988 | | 0.0004 | 10.0100 | 8008 | 0.9204 | 0.8165 | | 0.0002 | 11.0100 | 8736 | 1.2702 | 0.7901 | | 0.0002 | 12.0100 | 9464 | 0.5825 | 0.8831 | | 0.0004 | 13.0100 | 10192 | 0.9033 | 0.8288 | | 0.0002 | 14.0100 | 10920 | 0.9259 | 0.8527 | | 0.0051 | 15.0100 | 11648 | 1.0172 | 0.8337 | | 0.0002 | 16.0100 | 12376 | 1.0718 | 0.8214 | | 0.0 | 17.0100 | 13104 | 1.0214 | 0.8444 | ### Framework versions - Transformers 4.48.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0