Matcha Clips 224 Fintuned 5

--- library_name: transformers tags: - generated_from_trainer metrics: - accuracy model-index: - name: Matcha_clips_224_fintuned_5 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. --> # Matcha_clips_224_fintuned_5 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.5168 - Accuracy: 0.7326 ## 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: 4 - eval_batch_size: 4 - 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: 1140 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.5414 | 0.1 | 114 | 0.9738 | 0.6628 | | 0.175 | 1.1 | 228 | 1.3822 | 0.7093 | | 0.0043 | 2.1 | 342 | 1.1047 | 0.7442 | | 0.0034 | 3.1 | 456 | 1.4682 | 0.7093 | | 0.0038 | 4.1 | 570 | 1.4363 | 0.7209 | | 0.0005 | 5.1 | 684 | 1.4663 | 0.7209 | | 0.0005 | 6.1 | 798 | 1.4943 | 0.7326 | | 0.0004 | 7.1 | 912 | 1.5062 | 0.7326 | | 0.0004 | 8.1 | 1026 | 1.5134 | 0.7326 | | 0.0004 | 9.1 | 1140 | 1.5168 | 0.7326 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.3.1+cu121 - Datasets 3.6.0 - Tokenizers 0.21.1

Source context: 13 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo miladfa7/Matcha_clips_224_fintuned_5