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README.md
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license: wtfpl
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---
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---
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license: wtfpl
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datasets:
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- ms_marco
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- squad
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language:
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- en
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---
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# Model
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t5-base-msmarco-squad-query-generation-longp-v2
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Task: query generation
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Architecture: LongT5
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Base model: google/long-t5-tglobal-base
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Note: This is supposed to be a baseline model.
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## Prompt:
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"Generate Query: {document}. Query:"
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## Sequence length:
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1536 tokens
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## Training details
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### Hyperparameters
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Batch size: 8;
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Gradient acc: 8;
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LR: 3e-4, linear scheduler, 400 warmup steps.
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### Data
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Total: 252059 pairs (document, query)
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From MARCO-V2: 165238
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From SQuAD: 86821
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The remaining queries from MARCO-V2 train split were not used.
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## Evaluation
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This model is supposed to be used for data augmentation.
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Hence, meaningful evaluation will come from downstream tasks.
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MARCO-V2 Dev1:
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BLEU: 0.102
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ROUGE: 0.447
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MARCO-V2 Dev2:
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BLEU: 0.1691
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ROUGE: 0.5013
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