metadata

library_name: transformers
license: mit
base_model: gpt2
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 gpt2 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: 1.41e-05
train_batch_size: 128
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Framework versions

Transformers 4.44.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1