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Model Trained Using AutoTrain

  • Problem type: Seq2Seq
  • Example usage + dataset construction notebook: here

Validation Metrics

loss: 0.20580817759037018

rouge1: 54.3657

rouge2: 43.8004

rougeL: 50.056

rougeLsum: 53.9699

gen_len: 116.6083

runtime: 450.7126

samples_per_second: 0.266

steps_per_second: 0.033

: 3.0

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Safetensors
Model size
406M params
Tensor type
F32
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Dataset used to train pruhtopia/bart-toc-generation