clip-roberta-finetuned

This model is a fine-tuned version of transformers/clip-roberta on the ydshieh/coco_dataset_script 2017 dataset.

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: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 512
• total_eval_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Apex, opt level O2

Training results

Framework versions

• Transformers 4.18.0.dev0
• Pytorch 1.8.1+ascend.rc2
• Datasets 2.7.1
• Tokenizers 0.13.2