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blip-image-captioning-base-test – AI Model by GHonem | AlphaNeural AI

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GHonem/
blip-image-captioning-base-test

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generated_from_trainer

Salesforce/blip-image-captioning-base

endpoints_compatible

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blip-image-captioning-base-test

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-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0