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SmolVLM2-256M-Video-Instruct-dense-caption_full-irrelevent_full – AI Model by znyd | AlphaNeural AI
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znyd
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SmolVLM2-256M-Video-Instruct-dense-caption_full-irrelevent_full
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transformers
tensorboard
safetensors
smolvlm
image-text-to-text
generated_from_trainer
conversational
znyd/SmolVLM2-256M-Video-Instruct-dense-caption_full
finetune
apache-2.0
endpoints_compatible
us
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SmolVLM2-256M-Video-Instruct-dense-caption_full-irrelevent_full
This model is a fine-tuned version of
huggingFaceOfNabil/SmolVLM2-256M-Video-Instruct-dense-caption_full
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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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
Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1
