Picth Vision Checkpoint 8

--- library_name: transformers tags: - generated_from_trainer metrics: - accuracy model-index: - name: picth_vision_checkpoint_8 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. --> # picth_vision_checkpoint_8 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3051 - Accuracy: 0.9605 ## 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: 8364 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.0 | 0.3335 | 2789 | 0.0534 | 0.9921 | | 0.0209 | 1.3335 | 5578 | 0.0984 | 0.9803 | | 0.0284 | 2.3331 | 8364 | 0.3051 | 0.9605 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.3.1+cu121 - Datasets 3.6.0 - Tokenizers 0.21.1

Source context: 6 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo miladfa7/picth_vision_checkpoint_8