--- library_name: transformers license: gemma base_model: google/paligemma2-3b-pt-224 tags: - generated_from_trainer model-index: - name: paligemma2_racer results: [] --- # paligemma2_racer This model is a fine-tuned version of [google/paligemma2-3b-pt-224](https://huggingface.co/google/paligemma2-3b-pt-224) on an unknown dataset. ## 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: 1e-05 - train_batch_size: 16 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 64 - optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - num_epochs: 3 ### Training results ### Framework versions - Transformers 4.46.3 - Pytorch 2.5.1 - Datasets 3.1.0 - Tokenizers 0.20.3