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SmolVLM2-500M-Video-Instruct-videofeedback – AI Model by merve | AlphaNeural AI
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merve
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SmolVLM2-500M-Video-Instruct-videofeedback
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transformers
tensorboard
safetensors
smolvlm
image-text-to-text
generated_from_trainer
HuggingFaceTB/SmolVLM2-500M-Video-Instruct
finetune
apache-2.0
endpoints_compatible
us
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SmolVLM2-500M-Video-Instruct-videofeedback
This model is a fine-tuned version of
HuggingFaceTB/SmolVLM2-500M-Video-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: 2
eval_batch_size: 8
seed: 42
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: 1
Training results
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0
