Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
SmolVLM-Base-vqav2 – AI Model by Sigurdur | AlphaNeural AI
You can deploy this model and start earning money today!
Sigurdur
/
SmolVLM-Base-vqav2
like
0
peft
safetensors
adapter
lora
transformers
HuggingFaceTB/SmolVLM-Base
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
SmolVLM-Base-vqav2
This model is a fine-tuned version of
HuggingFaceTB/SmolVLM-Base
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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 1
num_epochs: 1
Training results
Framework versions
PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
