metadata

license: apache-2.0
base_model:
  - openai-community/gpt2-large

Model Card for Model ID

Summary

This is supervised fine-tuned model for text summarization based on GPT-2 (large). It has been finetuned on the filtered version of TL;DR train dataset, which can be found and downloaded from here: https://github.com/openai/summarize-from-feedback.

Model Description

Developed by: Course Organizers
Finetuned from model: openai-community/gpt2-large

Training Details

This model has been trained using the TLR library and SFTTrainer class from Huggingface.

Training Data

The filtered version of TL;DR train dataset, which can be found and downloaded from here: https://openaipublic.blob.core.windows.net/summarize-from-feedback/datasets/tldr_3_filtered/train.jsonl.

Training Hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 2024
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 1
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1

Framework Versions

accelerate==0.26.1
datasets==2.16.1
transformers==4.45.2
trl==0.11.2

Compute Infrastructure and Hardware

Slurm cluster with 8 x H100 Nvidia GPUs.