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SmolVLM2-500M-Video-Instruct-emotions

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metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolVLM2-500M-Video-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: SmolVLM2-500M-Video-Instruct-emotions
    results: []

SmolVLM2-500M-Video-Instruct-emotions

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