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metadata
base_model: LanguageBind/Video-LLaVA-7B-hf
tags:
  - generated_from_trainer
model-index:
  - name: videollava-7b-video-eval-50k-2-epoch_2048
    results: []

videollava-7b-video-eval-50k-2-epoch_2048

This model is a fine-tuned version of LanguageBind/Video-LLaVA-7B-hf 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-06
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 2.0

Training results

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.1.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.19.1