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blip-gqa-ft-trial – AI Model by phucd | AlphaNeural AI
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blip-gqa-ft-trial
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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-ft-trial
This model is a fine-tuned version of
Salesforce/blip2-opt-2.7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0
1250
nan
0.0
2.0
2500
nan
0.0
3.0
3750
nan
0.0
4.0
5000
nan
0.0
5.0
6250
nan
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.21.1
