deepset / roberta-base-squad2-distilled

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Total runs: 13.4K
24-hour runs: 0
7-day runs: -139.2K
30-day runs: -1.3M
Model's Last Updated: September 26 2024
question-answering

Introduction of roberta-base-squad2-distilled

Model Details of roberta-base-squad2-distilled

Overview

Language model: deepset/roberta-base-squad2-distilled
Language: English
Training data: SQuAD 2.0 training set Eval data: SQuAD 2.0 dev set Infrastructure : 4x V100 GPU
Published : Dec 8th, 2021

Details
  • haystack's distillation feature was used for training. deepset/roberta-large-squad2 was used as the teacher model.
Hyperparameters
batch_size = 80
n_epochs = 4
max_seq_len = 384
learning_rate = 3e-5
lr_schedule = LinearWarmup
embeds_dropout_prob = 0.1
temperature = 1.5
distillation_loss_weight = 0.75
Performance
"exact": 79.8366040596311
"f1": 83.916407079888
Authors

Timo Möller: [email protected]
Julian Risch: [email protected]
Malte Pietsch: [email protected]
Michel Bartels: [email protected]

About us

deepset is the company behind the open-source NLP framework Haystack which is designed to help you build production ready NLP systems that use: Question answering, summarization, ranking etc.

Some of our other work:

Get in touch and join the Haystack community

For more info on Haystack, visit our GitHub repo and Documentation .

We also have a Discord community open to everyone!

Twitter | LinkedIn | Discord | GitHub Discussions | Website

By the way: we're hiring!

Runs of deepset roberta-base-squad2-distilled on huggingface.co

13.4K
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24-hour runs
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3-day runs
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7-day runs
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30-day runs

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