---
language: 
- en
thumbnail: 
tags:
- pytorch
- google/pegasus-reddit_tifu
- summarization
- samsum
license: 
datasets:
- samsum
metrics:
- rouge
---

# Samsum Pegasus (Reddit/TIFU) for conversational summaries

## Model description

Pegasus (Reddit/TIFU) for conversational summaries trained on the samsum dataset!

## Training data

The data is the [samsum](https://huggingface.co/datasets/samsum) dataset for conversional summaries.

The initial weigths were from the [google/pegasus-reddit_tifu](https://huggingface.co/google/pegasus-reddit_tifu). The hypothesis being that it would help the convergence on the samsum dataset to have weights trained on a larger summarization dataset first like the Reddit TIFU using casual language.

## Training procedure

Used the _example/seq2seq/run_summarization.py_ script from the transformers source _4.5.0dev0_.

  n_epochs: 3,\
  batch_size: 4, \
  max_source_length: 512,\
  max_target_length: 128

## Eval results

  eval_gen_len: 35.89,\
  eval_loss: 1.3807392120361328,\
  eval_rouge1: 47.3372,\
  eval_rouge2: 24.4728,\
  eval_rougeL: 37.9078,\
  eval_rougeLsum: 43.5744,\
  eval_samples_per_second: 2.814