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metadata
license: other
base_model: facebook/opt-350m
tags:
  - trl
  - reward-trainer
  - generated_from_trainer
model-index:
  - name: reward_modeling_anthropic_hh
    results: []

reward_modeling_anthropic_hh

This model is a fine-tuned version of facebook/opt-350m 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: 1.41e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25.0

Training results

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1