RichardErkhov
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deepset_-_tinyroberta-squad2-8bits

+Quantization made by Richard Erkhov.
+[Github](https://github.com/RichardErkhov)
+[Discord](https://discord.gg/pvy7H8DZMG)
+[Request more models](https://github.com/RichardErkhov/quant_request)
+tinyroberta-squad2 - bnb 8bits
+- Model creator: https://huggingface.co/deepset/
+- Original model: https://huggingface.co/deepset/tinyroberta-squad2/
+Original model description:
+---
+language: en
+license: cc-by-4.0
+datasets:
+- squad_v2
+model-index:
+- name: deepset/tinyroberta-squad2
+  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: 78.8627
+      name: Exact Match
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDNlZDU4ODAxMzY5NGFiMTMyZmQ1M2ZhZjMyODA1NmFlOGMxNzYxNTA4OGE5YTBkZWViZjBkNGQ2ZmMxZjVlMCIsInZlcnNpb24iOjF9.Wgu599r6TvgMLTrHlLMVAbUtKD_3b70iJ5QSeDQ-bRfUsVk6Sz9OsJCp47riHJVlmSYzcDj_z_3jTcUjCFFXBg
+    - type: f1
+      value: 82.0355
+      name: F1
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTFkMzEzMWNiZDRhMGZlODhkYzcwZTZiMDFjZDg2YjllZmUzYWM5NTgwNGQ2NGYyMDk2ZGQwN2JmMTE5NTc3YiIsInZlcnNpb24iOjF9.ChgaYpuRHd5WeDFjtiAHUyczxtoOD_M5WR8834jtbf7wXhdGOnZKdZ1KclmhoI5NuAGc1NptX-G0zQ5FTHEcBA
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squad
+      type: squad
+      config: plain_text
+      split: validation
+    metrics:
+    - type: exact_match
+      value: 83.860
+      name: Exact Match
+    - type: f1
+      value: 90.752
+      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: 25.967
+      name: Exact Match
+    - type: f1
+      value: 37.006
+      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: 76.329
+      name: Exact Match
+    - type: f1
+      value: 83.292
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squadshifts amazon
+      type: squadshifts
+      config: amazon
+      split: test
+    metrics:
+    - type: exact_match
+      value: 63.915
+      name: Exact Match
+    - type: f1
+      value: 78.395
+      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: 80.297
+      name: Exact Match
+    - type: f1
+      value: 89.808
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squadshifts nyt
+      type: squadshifts
+      config: nyt
+      split: test
+    metrics:
+    - type: exact_match
+      value: 80.149
+      name: Exact Match
+    - type: f1
+      value: 88.321
+      name: F1
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squadshifts reddit
+      type: squadshifts
+      config: reddit
+      split: test
+    metrics:
+    - type: exact_match
+      value: 66.959
+      name: Exact Match
+    - type: f1
+      value: 79.300
+      name: F1
+---
+# tinyroberta-squad2
+This is the *distilled* version of the [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) model. This model has a comparable prediction quality and runs at twice the speed of the base model.
+## Overview
+**Language model:** tinyroberta-squad2
+**Language:** English
+**Downstream-task:** Extractive QA
+**Training data:** SQuAD 2.0
+**Eval data:** SQuAD 2.0
+**Code:** See [an example QA pipeline on Haystack](https://haystack.deepset.ai/tutorials/first-qa-system)
+**Infrastructure**: 4x Tesla v100
+## Hyperparameters
+```
+batch_size = 96
+n_epochs = 4
+base_LM_model = "deepset/tinyroberta-squad2-step1"
+max_seq_len = 384
+learning_rate = 3e-5
+lr_schedule = LinearWarmup
+warmup_proportion = 0.2
+doc_stride = 128
+max_query_length = 64
+distillation_loss_weight = 0.75
+temperature = 1.5
+teacher = "deepset/robert-large-squad2"
+```
+## Distillation
+This model was distilled using the TinyBERT approach described in [this paper](https://arxiv.org/pdf/1909.10351.pdf) and implemented in [haystack](https://github.com/deepset-ai/haystack).
+Firstly, we have performed intermediate layer distillation with roberta-base as the teacher which resulted in [deepset/tinyroberta-6l-768d](https://huggingface.co/deepset/tinyroberta-6l-768d).
+Secondly, we have performed task-specific distillation with [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) as the teacher for further intermediate layer distillation on an augmented version of SQuADv2 and then with [deepset/roberta-large-squad2](https://huggingface.co/deepset/roberta-large-squad2) as the teacher for prediction layer distillation.
+## Usage
+### In Haystack
+Haystack is an NLP framework by deepset. You can use this model in a Haystack pipeline to do question answering at scale (over many documents). To load the model in [Haystack](https://github.com/deepset-ai/haystack/):
+```python
+reader = FARMReader(model_name_or_path="deepset/tinyroberta-squad2")
+# or
+reader = TransformersReader(model_name_or_path="deepset/tinyroberta-squad2")
+```
+### In Transformers
+```python
+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+model_name = "deepset/tinyroberta-squad2"
+# a) Get predictions
+nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
+QA_input = {
+    'question': 'Why is model conversion important?',
+    'context': 'The option to convert models between FARM and transformers gives freedom to the user and let people easily switch between frameworks.'
+}
+res = nlp(QA_input)
+# b) Load model & tokenizer
+model = AutoModelForQuestionAnswering.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+```
+## Performance
+Evaluated on the SQuAD 2.0 dev set with the [official eval script](https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/).
+```
+"exact": 78.69114798281817,
+"f1": 81.9198998536977,
+"total": 11873,
+"HasAns_exact": 76.19770580296895,
+"HasAns_f1": 82.66446878592329,
+"HasAns_total": 5928,
+"NoAns_exact": 81.17746005046257,
+"NoAns_f1": 81.17746005046257,
+"NoAns_total": 5945
+```
+## Authors
+**Branden Chan:** [email protected]
+**Timo Möller:** [email protected]
+**Malte Pietsch:** [email protected]
+**Tanay Soni:** [email protected]
+**Michel Bartels:** [email protected]
+## 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:
+- [roberta-base-squad2]([https://huggingface.co/deepset/roberta-base-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/join">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)