Auto Summarization

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!pip install lightning-flash
!pip install -U gradsflow

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from flash.core.data.utils import download_data
from flash.text import SummarizationData, SummarizationTask

# 1. Download the data
download_data("https://pl-flash-data.s3.amazonaws.com/xsum.zip", "data/")

# 2. Load the data
datamodule = SummarizationData.from_csv(
    "input",
    "target",
    train_file="data/xsum/train.csv",
    val_file="data/xsum/valid.csv",
    test_file="data/xsum/test.csv",
)

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from gradsflow import AutoSummarization

suggested_conf = dict(
    optimizers=["adam"],
    lr=(5e-4, 1e-3),
)

model = AutoSummarization(datamodule,
                           suggested_backbones="sshleifer/distilbart-cnn-12-6",
                           suggested_conf=suggested_conf,
                           max_epochs=1,
                           optimization_metric="train_loss",
                           timeout=5)

print("AutoSummarization initialised!")
model.hp_tune()

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Last update: August 25, 2021