--- license: mit tags: - generated_from_trainer datasets: - jmhessel/newyorker_caption_contest model-index: - name: bridgetower-newyorker-gaudi2-8x results: [] --- # bridgetower-newyorker-gaudi2-8x 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: 0.1147 - Memory Allocated (gb): 20.01 - Max Memory Allocated (gb): 83.39 - Total Memory Available (gb): 93.74 ## 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 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 320 - total_eval_batch_size: 128 - 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 4.28.1 - Pytorch 2.0.1a0+git37b7ddc - Datasets 2.13.1 - Tokenizers 0.13.3