upload TF checkpoint
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- README.md +128 -0
- config.json +29 -0
- merges.txt +0 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
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README.md
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---
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language: en
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datasets:
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- squad_v2
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license: cc-by-4.0
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---
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# roberta-base for QA
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NOTE: This is version 2 of the model. See [this github issue](https://github.com/deepset-ai/FARM/issues/552) from the FARM repository for an explanation of why we updated. If you'd like to use version 1, specify `revision="v1.0"` when loading the model in Transformers 3.5. For exmaple:
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```
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model_name = "deepset/roberta-base-squad2"
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pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="question-answering")
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```
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## Overview
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**Language model:** roberta-base
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**Language:** English
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**Downstream-task:** Extractive QA
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**Training data:** SQuAD 2.0
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**Eval data:** SQuAD 2.0
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**Code:** See [example](https://github.com/deepset-ai/FARM/blob/master/examples/question_answering.py) in [FARM](https://github.com/deepset-ai/FARM/blob/master/examples/question_answering.py)
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**Infrastructure**: 4x Tesla v100
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## Hyperparameters
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```
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batch_size = 96
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n_epochs = 2
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base_LM_model = "roberta-base"
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max_seq_len = 386
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learning_rate = 3e-5
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lr_schedule = LinearWarmup
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warmup_proportion = 0.2
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doc_stride=128
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max_query_length=64
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```
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## Using a distilled model instead
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Please note that we have also released a distilled version of this model called [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2). The distilled model has a comparable prediction quality and runs at twice the speed of the base model.
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## Performance
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Evaluated on the SQuAD 2.0 dev set with the [official eval script](https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/).
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```
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"exact": 79.87029394424324,
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"f1": 82.91251169582613,
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"total": 11873,
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"HasAns_exact": 77.93522267206478,
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"HasAns_f1": 84.02838248389763,
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"HasAns_total": 5928,
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"NoAns_exact": 81.79983179142137,
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"NoAns_f1": 81.79983179142137,
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"NoAns_total": 5945
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```
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## Usage
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### In Transformers
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```python
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from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
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model_name = "deepset/roberta-base-squad2"
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# a) Get predictions
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nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
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QA_input = {
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'question': 'Why is model conversion important?',
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'context': 'The option to convert models between FARM and transformers gives freedom to the user and let people easily switch between frameworks.'
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}
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res = nlp(QA_input)
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# b) Load model & tokenizer
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model = AutoModelForQuestionAnswering.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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```
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### In FARM
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```python
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from farm.modeling.adaptive_model import AdaptiveModel
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from farm.modeling.tokenization import Tokenizer
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from farm.infer import Inferencer
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model_name = "deepset/roberta-base-squad2"
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# a) Get predictions
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nlp = Inferencer.load(model_name, task_type="question_answering")
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QA_input = [{"questions": ["Why is model conversion important?"],
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"text": "The option to convert models between FARM and transformers gives freedom to the user and let people easily switch between frameworks."}]
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res = nlp.inference_from_dicts(dicts=QA_input, rest_api_schema=True)
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# b) Load model & tokenizer
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model = AdaptiveModel.convert_from_transformers(model_name, device="cpu", task_type="question_answering")
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tokenizer = Tokenizer.load(model_name)
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```
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### In haystack
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For doing QA at scale (i.e. many docs instead of single paragraph), you can load the model also in [haystack](https://github.com/deepset-ai/haystack/):
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```python
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reader = FARMReader(model_name_or_path="deepset/roberta-base-squad2")
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# or
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reader = TransformersReader(model_name_or_path="deepset/roberta-base-squad2",tokenizer="deepset/roberta-base-squad2")
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```
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## Authors
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Branden Chan: `branden.chan [at] deepset.ai`
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Timo Möller: `timo.moeller [at] deepset.ai`
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Malte Pietsch: `malte.pietsch [at] deepset.ai`
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Tanay Soni: `tanay.soni [at] deepset.ai`
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## About us
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![deepset logo](https://workablehr.s3.amazonaws.com/uploads/account/logo/476306/logo)
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We bring NLP to the industry via open source!
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Our focus: Industry specific language models & large scale QA systems.
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Some of our work:
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- [German BERT (aka "bert-base-german-cased")](https://deepset.ai/german-bert)
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- [GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")](https://deepset.ai/germanquad)
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- [FARM](https://github.com/deepset-ai/FARM)
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- [Haystack](https://github.com/deepset-ai/haystack/)
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Get in touch:
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[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Slack](https://haystack.deepset.ai/community/join) | [GitHub Discussions](https://github.com/deepset-ai/haystack/discussions) | [Website](https://deepset.ai)
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By the way: [we're hiring!](http://www.deepset.ai/jobs)
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config.json
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{
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"_name_or_path": "./roberta-base-squad2",
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"architectures": [
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"RobertaForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"language": "english",
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"name": "Roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.18.0.dev0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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special_tokens_map.json
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{"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:fdd5e398eeb651eb7a1f19ec698a0ee68745dddd8c035b1187a509e81be9e684
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size 496513360
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tokenizer_config.json
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{"do_lower_case": false, "model_max_length": 512, "full_tokenizer_file": null}
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vocab.json
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