RALL RGBCROP Ori16F 8B16F

--- 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_ori16F-8B16F 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_ori16F-8B16F 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: 0.7010 - Accuracy: 0.8193 ## 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 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: 1920 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.3229 | 0.0505 | 97 | 0.4999 | 0.7669 | | 0.305 | 1.0505 | 194 | 0.4898 | 0.8098 | | 0.1401 | 2.0505 | 291 | 0.9421 | 0.8221 | | 0.0004 | 3.0505 | 388 | 1.0550 | 0.8160 | | 0.0031 | 4.0505 | 485 | 1.2171 | 0.8160 | | 0.0211 | 5.0505 | 582 | 1.2556 | 0.8221 | | 0.1002 | 6.0505 | 679 | 1.1437 | 0.8160 | | 0.0001 | 7.0505 | 776 | 1.2052 | 0.7975 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1

Source context: 2 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo TanAlexanderlz/RALL_RGBCROP_ori16F-8B16F