Disclaimer: Those are the results I obtained with an older version of software. It is possible to fit batches of 48 samples and to get better throughput as mentioned in this blog post: https://huggingface.co/blog/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: 0.1148
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: 32
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 256
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
