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SmolVLM-500M-Instruct-vqav2 – AI Model by hasan-farooq | AlphaNeural AI
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hasan-farooq
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SmolVLM-500M-Instruct-vqav2
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transformers
tensorboard
safetensors
idefics3
image-to-text
generated_from_trainer
HuggingFaceTB/SmolVLM-500M-Instruct
finetune
apache-2.0
endpoints_compatible
us
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SmolVLM-500M-Instruct-vqav2
This model is a fine-tuned version of
HuggingFaceTB/SmolVLM-500M-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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_HF 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: 3
Training results
Framework versions
Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
