RichardErkhov
/

deepset_-_roberta-base-squad2-distilled-8bits

+Quantization made by Richard Erkhov.
+[Github](https://github.com/RichardErkhov)
+[Discord](https://discord.gg/pvy7H8DZMG)
+[Request more models](https://github.com/RichardErkhov/quant_request)
+roberta-base-squad2-distilled - bnb 8bits
+- Model creator: https://huggingface.co/deepset/
+- Original model: https://huggingface.co/deepset/roberta-base-squad2-distilled/
+Original model description:
+---
+language: en
+license: mit
+tags:
+- exbert
+datasets:
+- squad_v2
+thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
+model-index:
+- name: deepset/roberta-base-squad2-distilled
+  results:
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squad_v2
+      type: squad_v2
+      config: squad_v2
+      split: validation
+    metrics:
+    - type: exact_match
+      value: 80.8593
+      name: Exact Match
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzVjNzkxNmNiNDkzNzdiYjJjZGM3ZTViMGJhOGM2ZjFmYjg1MjYxMDM2YzM5NWMwNDIyYzNlN2QwNGYyNDMzZSIsInZlcnNpb24iOjF9.Rgww8tf8D7nF2dh2U_DMrFzmp87k8s7RFibrDXSvQyA66PGWXwjlsd1552lzjHnNV5hvHUM1-h3PTuY_5p64BA
+    - type: f1
+      value: 84.0104
+      name: F1
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTAyZDViNWYzNjA4OWQ5MzgyYmQ2ZDlhNWRhMTIzYTYxYzViMmI4NWE4ZGU5MzVhZTAwNTRlZmRlNWUwMjI0ZSIsInZlcnNpb24iOjF9.Er21BNgJ3jJXLuZtpubTYq9wCwO1i_VLQFwS5ET0e4eAYVVj0aOA40I5FvP5pZac3LjkCnVacxzsFWGCYVmnDA
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squad
+      type: squad
+      config: plain_text
+      split: validation
+    metrics:
+    - type: exact_match
+      value: 86.225
+      name: Exact Match
+    - type: f1
+      value: 92.483
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: adversarial_qa
+      type: adversarial_qa
+      config: adversarialQA
+      split: validation
+    metrics:
+    - type: exact_match
+      value: 29.900
+      name: Exact Match
+    - type: f1
+      value: 41.183
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squad_adversarial
+      type: squad_adversarial
+      config: AddOneSent
+      split: validation
+    metrics:
+    - type: exact_match
+      value: 79.071
+      name: Exact Match
+    - type: f1
+      value: 84.472
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squadshifts amazon
+      type: squadshifts
+      config: amazon
+      split: test
+    metrics:
+    - type: exact_match
+      value: 70.733
+      name: Exact Match
+    - type: f1
+      value: 83.958
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squadshifts new_wiki
+      type: squadshifts
+      config: new_wiki
+      split: test
+    metrics:
+    - type: exact_match
+      value: 82.011
+      name: Exact Match
+    - type: f1
+      value: 91.092
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squadshifts nyt
+      type: squadshifts
+      config: nyt
+      split: test
+    metrics:
+    - type: exact_match
+      value: 84.203
+      name: Exact Match
+    - type: f1
+      value: 91.521
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squadshifts reddit
+      type: squadshifts
+      config: reddit
+      split: test
+    metrics:
+    - type: exact_match
+      value: 72.029
+      name: Exact Match
+    - type: f1
+      value: 83.454
+      name: F1
+---
+## 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:** timo.moeller@deepset.ai
+**Julian Risch:** julian.risch@deepset.ai
+**Malte Pietsch:** malte.pietsch@deepset.ai
+**Michel Bartels:** michel.bartels@deepset.ai
+## About us
+<div class="grid lg:grid-cols-2 gap-x-4 gap-y-3">
+    <div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center">
+         <img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/deepset-logo-colored.png" class="w-40"/>
+     </div>
+     <div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center">
+         <img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/haystack-logo-colored.png" class="w-40"/>
+     </div>
+</div>
+[deepset](http://deepset.ai/) is the company behind the open-source NLP framework [Haystack](https://haystack.deepset.ai/) which is designed to help you build production ready NLP systems that use: Question answering, summarization, ranking etc.
+Some of our other work:
+- [Distilled roberta-base-squad2 (aka "tinyroberta-squad2")]([https://huggingface.co/deepset/tinyroberta-squad2)
+- [German BERT (aka "bert-base-german-cased")](https://deepset.ai/german-bert)
+- [GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")](https://deepset.ai/germanquad)
+## Get in touch and join the Haystack community
+<p>For more info on Haystack, visit our <strong><a href="https://github.com/deepset-ai/haystack">GitHub</a></strong> repo and <strong><a href="https://docs.haystack.deepset.ai">Documentation</a></strong>.
+We also have a <strong><a class="h-7" href="https://haystack.deepset.ai/community">Discord community open to everyone!</a></strong></p>
+[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Discord](https://haystack.deepset.ai/community) | [GitHub Discussions](https://github.com/deepset-ai/haystack/discussions) | [Website](https://deepset.ai)
+By the way: [we're hiring!](http://www.deepset.ai/jobs)