Timesformer Base K400 Finetuned CricketV2.0

--- library_name: transformers license: cc-by-nc-4.0 base_model: facebook/timesformer-base-finetuned-k400 tags: - generated_from_trainer model-index: - name: timesformer-base-k400-finetuned-cricketV2.0 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. --> # timesformer-base-k400-finetuned-cricketV2.0 This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 1.1566 - eval_accuracy: 0.6849 - eval_runtime: 45.7909 - eval_samples_per_second: 7.971 - eval_steps_per_second: 1.005 - epoch: 13.0094 - step: 1400 ## 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: 12 - 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: cosine - lr_scheduler_warmup_steps: 0.1 - training_steps: 2343 ### Framework versions - Transformers 5.3.0 - Pytorch 2.10.0 - Datasets 4.7.0 - Tokenizers 0.22.2

Source context: 10 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo SaurabhShashank/timesformer-base-k400-finetuned-cricketV2.0

Source context: 4 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo SaurabhShashank/timesformer-base-k400-finetuned-cricketV2.0