metadata

license: mit
base_model: openai-community/gpt2-medium
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - Anthropic/hh-rlhf
model-index:
  - name: gpt2-sft
    results: []

gpt2-sft

This model is a fine-tuned version of openai-community/gpt2-medium on the Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:

Loss: 2.1977

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.1966	1.0	1366	2.1977

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.14.6
Tokenizers 0.15.2