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blip-gqa-ft2 – AI Model by phucd | AlphaNeural AI
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blip-gqa-ft2
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transformers
safetensors
blip-2
image-to-text
generated_from_trainer
Salesforce/blip2-opt-2.7b
finetune
mit
endpoints_compatible
us
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blip-gqa-ft2
This model is a fine-tuned version of
Salesforce/blip2-opt-2.7b
on an unknown 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: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.21.1
