ma921 / pythia-70m_ipo_hh

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: -1
30-day runs: 4
Model's Last Updated: April 20 2025
text-generation

Introduction of pythia-70m_ipo_hh

Model Details of pythia-70m_ipo_hh

pythia-70m_ipo_hh

This model is a fine-tuned version of ma921/pythia-70m_sft_hh on the None 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: 1e-06
  • train_batch_size: 64
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • 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
  • num_epochs: 1
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1

Runs of ma921 pythia-70m_ipo_hh on huggingface.co

10
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
4
30-day runs

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