ViViT Lsa64 CoR

--- library_name: transformers license: mit base_model: google/vivit-b-16x2-kinetics400 tags: - generated_from_trainer metrics: - accuracy model-index: - name: ViViT_lsa64_coR 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. --> # ViViT_lsa64_coR This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0008 - 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: 5e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 8 - 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: 0.1 - training_steps: 2880 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 12.7049 | 0.1 | 288 | 1.3316 | 0.8438 | | 1.4335 | 1.1 | 576 | 0.0854 | 0.9922 | | 0.0869 | 2.1 | 864 | 0.0054 | 1.0 | | 0.0225 | 3.1 | 1152 | 0.0021 | 1.0 | | 0.0057 | 4.1 | 1440 | 0.0012 | 1.0 | | 0.0038 | 5.1 | 1728 | 0.0010 | 1.0 | | 0.0024 | 6.1 | 2016 | 0.0008 | 1.0 | | 0.0016 | 7.1 | 2304 | 0.0008 | 1.0 | ### Framework versions - Transformers 4.46.1 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.20.1

Source context: 6 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo Shawon16/ViViT_lsa64_coR

Source context: 4 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo Shawon16/ViViT_lsa64_coR