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test-bridgetower

This model is a fine-tuned version of BridgeTower/bridgetower-large-itm-mlm-itc on the jmhessel/newyorker_caption_contest matching dataset. It achieves the following results on the evaluation set:

• Loss: 0.1163
• Memory Allocated (gb): 17.72
• Max Memory Allocated (gb): 94.43
• Total Memory Available (gb): 94.61

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: 48
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 384
• 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 4.33.1
• Pytorch 2.0.1a0+gitdefeb45
• Datasets 2.14.5
• Tokenizers 0.13.3