Model Trained Using AutoTrain

This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset.

  • Problem type: Seq2Seq

Validation Metrics

loss: 1.4270155429840088

rouge1: 46.4301

rouge2: 23.4668

rougeL: 37.0224

rougeLsum: 42.8893

gen_len: 35.9694

runtime: 467.0921

samples_per_second: 1.751

steps_per_second: 0.439

: 1.0

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Model size
571M params
Tensor type
F32
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Dataset used to train chris-santiago/pegasus-samsum