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SmolVLM2-2.2B-Instruct-vqav2-vqav3 – AI Model by jerick5555 | AlphaNeural AI

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jerick5555/
SmolVLM2-2.2B-Instruct-vqav2-vqav3

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HuggingFaceTB/SmolVLM2-2.2B-Instruct

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SmolVLM2-2.2B-Instruct-vqav2-vqav3

This model is a fine-tuned version of HuggingFaceTB/SmolVLM2-2.2B-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: 0.0001
train_batch_size: 4
eval_batch_size: 16
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 0.14.0
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0