Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetuned_paligemma_vqav2_small – AI Model by ahmedeveloper | AlphaNeural AI
You can deploy this model and start earning money today!
ahmedeveloper
/
finetuned_paligemma_vqav2_small
like
0
peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
google/paligemma-3b-pt-224
gemma
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetuned_paligemma_vqav2_small
This model is a fine-tuned version of
google/paligemma-3b-pt-224
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 2
num_epochs: 2
Training results
Framework versions
PEFT 0.19.1
Transformers 5.6.2
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2
