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SmolVLM-500M-Base-vqav2-unfreeze – AI Model by chiaky21 | AlphaNeural AI

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chiaky21/
SmolVLM-500M-Base-vqav2-unfreeze

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HuggingFaceTB/SmolVLM-500M-Base

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SmolVLM-500M-Base-vqav2-unfreeze

This model is a fine-tuned version of HuggingFaceTB/SmolVLM-500M-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: 16
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: 25
num_epochs: 5

Framework versions

Transformers 4.49.0
Pytorch 2.4.1+cu124
Datasets 3.4.1
Tokenizers 0.21.1