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nasir421/SmolVLM-256M-Instruct-video-feedback

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face
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Model Card

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SmolVLM-256M-Instruct-video-feedback

This model is a fine-tuned version of HuggingFaceTB/SmolVLM-256M-Instruct on the generator 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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 50
  • —num_epochs: 1

Training results

Framework versions

  • —Transformers 5.0.0.dev0
  • —Pytorch 2.9.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2