Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
SmolVLM-Base-vqav2 – AI Model by Harsh9699 | AlphaNeural AI
You can deploy this model and start earning money today!
Harsh9699
/
SmolVLM-Base-vqav2
like
0
peft
tensorboard
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 50
num_epochs: 1
Training results
Framework versions
PEFT 0.16.0
Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
