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SmolVLM-500M-Instruct-earth-v1 – AI Model by dkhanh | AlphaNeural AI
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dkhanh
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SmolVLM-500M-Instruct-earth-v1
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peft
tensorboard
safetensors
generated_from_trainer
HuggingFaceTB/SmolVLM-500M-Instruct
adapter
apache-2.0
us
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SmolVLM-500M-Instruct-earth-v1
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use 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: 10
num_epochs: 5
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
