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SmolVLM-Base-vqav2 – AI Model by l3nux | AlphaNeural AI

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l3nux/
SmolVLM-Base-vqav2

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HuggingFaceTB/SmolVLM-Base

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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
gradient_accumulation_steps: 4
total_train_batch_size: 4
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 0.18.0
Transformers 5.0.0.dev0
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1