Shawon16/VideoMAE_fixed_split_analysis_BDSLW60_3_CLASS

1---2library_name: transformers3license: cc-by-nc-4.04base_model: MCG-NJU/videomae-base-finetuned-kinetics5tags:6- generated_from_trainer7metrics:8- accuracy9model-index:10- name: VideoMAE_fixed_split_analysis_BDSLW60_3_CLASS11  results: []12---13 14<!-- This model card has been generated automatically according to the information the Trainer had access to. You15should probably proofread and complete it, then remove this comment. -->16 17# VideoMAE_fixed_split_analysis_BDSLW60_3_CLASS18 19This 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.20It achieves the following results on the evaluation set:21- Loss: 0.000522- Accuracy: 1.023 24## Model description25 26More information needed27 28## Intended uses & limitations29 30More information needed31 32## Training and evaluation data33 34More information needed35 36## Training procedure37 38### Training hyperparameters39 40The following hyperparameters were used during training:41- learning_rate: 5e-0542- train_batch_size: 243- eval_batch_size: 244- seed: 4245- gradient_accumulation_steps: 446- total_train_batch_size: 847- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments48- lr_scheduler_type: linear49- lr_scheduler_warmup_ratio: 0.150- training_steps: 8851- mixed_precision_training: Native AMP52 53### Training results54 55| Training Loss | Epoch  | Step | Validation Loss | Accuracy |56|:-------------:|:------:|:----:|:---------------:|:--------:|57| 1.065         | 0.5    | 44   | 0.0014          | 1.0      |58| 0.0019        | 1.4972 | 88   | 0.0005          | 1.0      |59 60 61### Framework versions62 63- Transformers 4.46.164- Pytorch 2.5.1+cu12465- Datasets 3.1.066- Tokenizers 0.20.167