metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - jmhessel/newyorker_caption_contest
model-index:
  - name: bridgetower-newyorker-gaudi2-8x
    results: []

bridgetower-newyorker-gaudi2-8x

Disclaimer: Those are the results I obtained with an older version of Optimum Habana. With v1.7, 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: 0.1147
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