--- license: mit base_model: BridgeTower/bridgetower-large-itm-mlm-itc tags: - generated_from_trainer datasets: - jmhessel/newyorker_caption_contest model-index: - name: bridgetower results: [] --- # bridgetower This model is a fine-tuned version of [BridgeTower/bridgetower-large-itm-mlm-itc](https://huggingface.co/BridgeTower/bridgetower-large-itm-mlm-itc) on the jmhessel/newyorker_caption_contest matching dataset. It achieves the following results on the evaluation set: - Loss: 0.1243 - Memory Allocated (gb): 51.27 - Max Memory Allocated (gb): 60.52 - Total Memory Available (gb): 94.62 ## 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: 40 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06 - lr_scheduler_type: linear - num_epochs: 5.0 ### Training results ### Framework versions - Transformers 4.43.4 - Pytorch 2.3.1a0+git4989238 - Datasets 3.0.1 - Tokenizers 0.19.1