GHonem/blip-image-captioning-base-test_sagemaker

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blip-image-captioning-base-test_sagemaker

This model is a fine-tuned version of Salesforce/blip-image-captioning-base on the None 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-06
• —trainbatchsize: 32
• —evalbatchsize: 64
• —seed: 42
• —distributedtype: sagemakermodel_parallel
• —num_devices: 2
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1

Framework versions

• —Transformers 4.26.0
• —Pytorch 1.13.1+cu117
• —Datasets 2.9.0
• —Tokenizers 0.13.2