README.md

metadata

language:
  - en
thumbnail: null
tags:
  - pytorch
  - google/pegasus-reddit_tifu
  - summarization
  - samsum
license: null
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 dataset for conversional summaries.

The initial weigths were from the 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: 8,
max_source_length: 256,
max_target_length: 128

Eval results

eval_gen_len: 35.9939,\
eval_loss: 1.4284523725509644,\
eval_rouge1: 46.5613,\
eval_rouge2: 23.6137,\
eval_rougeL: 37.2397,\
eval_rougeLsum: 42.7126,\
eval_samples_per_second: 4.302