Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetune-llama-vision-qa – AI Model by NathanVoldman | AlphaNeural AI
You can deploy this model and start earning money today!
NathanVoldman
/
finetune-llama-vision-qa
like
0
peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.2-11B-Vision-Instruct
adapter
llama3.2
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetune-llama-vision-qa
This model is a fine-tuned version of
meta-llama/Llama-3.2-11B-Vision-Instruct
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.20.1
