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full_finetune_orpo_pythia2_hh_full
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metadata
library_name: transformers
license: apache-2.0
base_model: EleutherAI/pythia-2.8b
tags:
  - trl
  - orpo
  - generated_from_trainer
model-index:
  - name: orpo_pythia2_hh_full
    results: []

orpo_pythia2_hh_full

This model is a fine-tuned version of EleutherAI/pythia-2.8b 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: 8e-06
  • train_batch_size: 12
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 48
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 150
  • num_epochs: 1.0

Training results

Framework versions

  • Transformers 4.45.0
  • Pytorch 2.5.0+cu124
  • Datasets 2.19.2
  • Tokenizers 0.20.0