File size: 21,953 Bytes
2f0b4ac 86bbefd 2f0b4ac c2bbc4f 0acac95 2f0b4ac 23dc486 2f0b4ac 1792449 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac 23dc486 2f0b4ac |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 |
---
language: en
license: cc-by-sa-4.0
tags:
- token-classification
- ner
- named-entity-recognition
datasets:
- DFKI-SLT/few-nerd
metrics:
- precision
- recall
- f1
widget:
- text: Concern and scepticism surround Niger uranium mining waste storage plans. Towering mounds dot the desert landscape in northern Niger's Arlit region, but they are heaps of partially radioactive waste left from four decades of operations at one of the world's biggest uranium mines. An ambitious 10-year scheme costing $160 million is underway to secure the waste and avoid risks to health and the environment, but many local people are worried or sceptical. France's nuclear giant Areva, now called Orano, worked the area under a subsidiary, the Akouta Mining Company (Cominak). Cominak closed the site in 2021 after extracting 75,000 tonnes of uranium, much of which went to fuelling the scores of nuclear reactors that provide the backbone of France's electricity supply. Cominak's director general Mahaman Sani Abdoulaye showcased the rehabilitation project to the first French journalists to visit the site since 2010, when seven Areva employees were kidnapped by jihadists.
- text: SE Michigan counties allege insulin gouging; Localities file lawsuit against pharmaceutical makers. Four metro Detroit counties filed federal lawsuits Wednesday against some of the nation's biggest pharmaceutical manufacturers and pharmacy benefit managers alleging illegal price fixing for insulin products. Macomb, Monroe, Wayne and Washtenaw counties filed the lawsuits in U.S. District Court in New Jersey against more than a dozen companies, including Lilly, Sanofi Aventis, Novo Nordisk, Express Scripts, Optum Rx and CVS Caremark, per their attorneys. "These are the first such lawsuits that have been filed in the state of Michigan and probably more to come," said attorney Melvin Butch Hollowell of the Miller Law Firm. He described the allegations during a news conference, saying that nationally "the pharmacies and manufacturers get together. They control about 90% of the market each, of the insulin market. They talk to each other secretly. And they jack up the prices through anticompetitive means. And what we've seen is over the past 20 years, when we talk about jacking up the prices, they jack them up 1,500% in the last 20 years. 1,500%."
- text: Foreign governments may be spying on your smartphone notifications, senator says. Washington (CNN) — Foreign governments have reportedly attempted to spy on iPhone and Android users through the mobile app notifications they receive on their smartphones - and the US government has forced Apple and Google to keep quiet about it, according to a top US senator. Through legal demands sent to the tech giants, governments have allegedly tried to force Apple and Google to turn over sensitive information that could include the contents of a notification - such as previews of a text message displayed on a lock screen, or an update about app activity, Oregon Democratic Sen. Ron Wyden said in a new report. Wyden's report reflects the latest example of long-running tensions between tech companies and governments over law enforcement demands, which have stretched on for more than a decade. Governments around the world have particularly battled with tech companies over encryption, which provides critical protections to users and businesses while in some cases preventing law enforcement from pursuing investigations into messages sent over the internet.
- text: Tech giants ‘could severely disable UK spooks from stopping online harms’. Silicon Valley tech giants’ actions could “severely disable” UK spooks from preventing harm caused by online paedophiles and fraudsters, Suella Braverman has suggested. The Conservative former home secretary named Facebook owner Meta , and Apple, and their use of technologies such as end-to-end encryption as a threat to attempts to tackle digital crimes. She claimed the choice to back these technologies without “safeguards” could “enable and indeed facilitate some of the worst atrocities that our brave men and women in law enforcement agencies deal with every day”, as MPs began considering changes to investigatory powers laws. The Investigatory Powers (Amendment) Bill includes measures to make it easier for agencies to examine and retain bulk datasets, such as publicly available online telephone records, and would allow intelligence agencies to use internet connection records to aid detection of their targets. We know that the terrorists, the serious organised criminals, and fraudsters, and the online paedophiles, all take advantage of the dark web and encrypted spaces
- text: Camargo Corrêa asks Toffoli to suspend the fine agreed with Lava Jato. The Camargo Corrêa group has asked Justice Dias Toffoli to suspend the R$1.4 billion fine it agreed to pay in its leniency agreement under Operation Car Wash. The company asked for an extension of the minister's decisions that benefited J&F and Odebrecht. Like the other companies, it claimed that it suffered undue pressure from members of the Federal Public Prosecutor's Office (MPF) to close the deal. Much of the request is based on messages exchanged between prosecutors from the Curitiba task force and former judge Sergio Moro - Camargo Corrêa requested full access to the material, seized in Operation Spoofing, which arrested the hackers who broke into cell phones. The dialogues, according to the group's defense, indicate that the executives did not freely agree to the deal, since they were the targets of lawsuits and pre-trial detentions.
pipeline_tag: token-classification
inference:
parameters:
aggregation_strategy: "simple"
base_model: numind/NuNER-v1.0
model-index:
- name: numind/NuNER-v1.0 fine-tuned on FewNERD-fine-supervised
results:
- task:
type: token-classification
name: Named Entity Recognition
dataset:
name: FewNERD
type: DFKI-SLT/few-nerd
split: eval
metrics:
- type: f1
value: 0.6938826894412441
name: F1
- type: precision
value: 0.6775065885222044
name: Precision
- type: recall
value: 0.7110700573834785
name: Recall
---
# numind/NuNER-v1.0 fine-tuned on FewNERD-fine-supervised
This is a [NuNER](https://arxiv.org/abs/2402.15343) model fine-tuned on the [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd) dataset that can be used for Named Entity Recognition. NuNER model uses [RoBERTa-base](https://huggingface.co/FacebookAI/roberta-base) as the backbone encoder and it was trained on the [NuNER dataset](https://huggingface.co/datasets/numind/NuNER), which is a large and diverse dataset synthetically labeled by gpt-3.5-turbo-0301 of 1M sentences. This further pre-training phase allowed the generation of high quality token embeddings, a good starting point for fine-tuning on more specialized datasets.
## Model Details
The model was fine-tuned as a regular BERT-based model for NER task using HuggingFace Trainer class.
### Model Labels
| Label | Examples |
|:-----------------------------------------|:---------------------------------------------------------------------------------------------------------|
| art_broadcastprogram | "Corazones", "The Gale Storm Show : Oh , Susanna", "Street Cents" |
| art_film | "Shawshank Redemption", "L'Atlantide", "Bosch" |
| art_music | "Hollywood Studio Symphony", "Atkinson , Danko and Ford ( with Brockie and Hilton )", "Champion Lover" |
| art_other | "The Today Show", "Venus de Milo", "Aphrodite of Milos" |
| art_painting | "Production/Reproduction", "Touit", "Cofiwch Dryweryn" |
| art_writtenart | "The Seven Year Itch", "Imelda de ' Lambertazzi", "Time" |
| building_airport | "Sheremetyevo International Airport", "Newark Liberty International Airport", "Luton Airport" |
| building_hospital | "Yeungnam University Hospital", "Hokkaido University Hospital", "Memorial Sloan-Kettering Cancer Center" |
| building_hotel | "The Standard Hotel", "Flamingo Hotel", "Radisson Blu Sea Plaza Hotel" |
| building_library | "British Library", "Bayerische Staatsbibliothek", "Berlin State Library" |
| building_other | "Henry Ford Museum", "Alpha Recording Studios", "Communiplex" |
| building_restaurant | "Carnegie Deli", "Fatburger", "Trumbull" |
| building_sportsfacility | "Boston Garden", "Sports Center", "Glenn Warner Soccer Facility" |
| building_theater | "Sanders Theatre", "National Paris Opera", "Pittsburgh Civic Light Opera" |
| event_attack/battle/war/militaryconflict | "Easter Offensive", "Jurist", "Vietnam War" |
| event_disaster | "the 1912 North Mount Lyell Disaster", "1990s North Korean famine", "1693 Sicily earthquake" |
| event_election | "Elections to the European Parliament", "March 1898 elections", "1982 Mitcham and Morden by-election" |
| event_other | "Union for a Popular Movement", "Masaryk Democratic Movement", "Eastwood Scoring Stage" |
| event_protest | "Iranian Constitutional Revolution", "French Revolution", "Russian Revolution" |
| event_sportsevent | "World Cup", "National Champions", "Stanley Cup" |
| location_GPE | "Croatian", "Mediterranean Basin", "the Republic of Croatia" |
| location_bodiesofwater | "Arthur Kill", "Atatürk Dam Lake", "Norfolk coast" |
| location_island | "new Samsat district", "Laccadives", "Staten Island" |
| location_mountain | "Salamander Glacier", "Miteirya Ridge", "Ruweisat Ridge" |
| location_other | "Victoria line", "Northern City Line", "Cartuther" |
| location_park | "Painted Desert Community Complex Historic District", "Gramercy Park", "Shenandoah National Park" |
| location_road/railway/highway/transit | "NJT", "Newark-Elizabeth Rail Link", "Friern Barnet Road" |
| organization_company | "Texas Chicken", "Dixy Chicken", "Church 's Chicken" |
| organization_education | "MIT", "Belfast Royal Academy and the Ulster College of Physical Education", "Barnard College" |
| organization_government/governmentagency | "Congregazione dei Nobili", "Diet", "Supreme Court" |
| organization_media/newspaper | "Clash", "Al Jazeera", "TimeOut Melbourne" |
| organization_other | "Defence Sector C", "IAEA", "4th Army" |
| organization_politicalparty | "Al Wafa ' Islamic", "Shimpotō", "Kenseitō" |
| organization_religion | "UPCUSA", "Christian", "Jewish" |
| organization_showorganization | "Lizzy", "Bochumer Symphoniker", "Mr. Mister" |
| organization_sportsleague | "China League One", "NHL", "First Division" |
| organization_sportsteam | "Arsenal", "Luc Alphand Aventures", "Tottenham" |
| other_astronomything | "Algol", "`` Caput Larvae ''", "Zodiac" |
| other_award | "Order of the Republic of Guinea and Nigeria", "Grand Commander of the Order of the Niger", "GCON" |
| other_biologything | "N-terminal lipid", "Amphiphysin", "BAR" |
| other_chemicalthing | "uranium", "carbon dioxide", "sulfur" |
| other_currency | "$", "lac crore", "Travancore Rupee" |
| other_disease | "bladder cancer", "French Dysentery Epidemic of 1779", "hypothyroidism" |
| other_educationaldegree | "BSc ( Hons ) in physics", "Bachelor", "Master" |
| other_god | "Raijin", "Fujin", "El" |
| other_language | "Breton-speaking", "Latin", "English" |
| other_law | "Leahy–Smith America Invents Act ( AIA", "United States Freedom Support Act", "Thirty Years ' Peace" |
| other_livingthing | "monkeys", "patchouli", "insects" |
| other_medical | "amitriptyline", "Pediatrics", "pediatrician" |
| person_actor | "Tchéky Karyo", "Edmund Payne", "Ellaline Terriss" |
| person_artist/author | "Hicks", "Gaetano Donizett", "George Axelrod" |
| person_athlete | "Tozawa", "Neville", "Jaguar" |
| person_director | "Richard Quine", "Bob Swaim", "Frank Darabont" |
| person_other | "Campbell", "Holden", "Richard Benson" |
| person_politician | "William", "Rivière", "Emeric" |
| person_scholar | "Wurdack", "Stalmine", "Stedman" |
| person_soldier | "Joachim Ziegler", "Helmuth Weidling", "Krukenberg" |
| product_airplane | "Spey-equipped FGR.2s", "EC135T2 CPDS", "Luton" |
| product_car | "Phantom", "100EX", "Corvettes - GT1 C6R" |
| product_food | "red grape", "yakiniku", "V. labrusca" |
| product_game | "Hardcore RPG", "Splinter Cell", "Airforce Delta" |
| product_other | "X11", "PDP-1", "Fairbottom Bobs" |
| product_ship | "Essex", "Congress", "HMS `` Chinkara ''" |
| product_software | "AmiPDF", "Wikipedia", "Apdf" |
| product_train | "55022", "Royal Scots Grey", "High Speed Trains" |
| product_weapon | "AR-15 's", "ZU-23-2MR Wróbel II", "ZU-23-2M Wróbel" |
## Uses
### Direct Use for Inference
```python
>>> from transformers import pipeline
>>> text = """Foreign governments may be spying on your smartphone notifications, senator says. Washington (CNN) — Foreign governments have reportedly attempted to spy on iPhone and Android users through the mobile app notifications they receive on their smartphones - and the US government has forced Apple and Google to keep quiet about it, according to a top US senator. Through legal demands sent to the tech giants, governments have allegedly tried to force Apple and Google to turn over sensitive information that could include the contents of a notification - such as previews of a text message displayed on a lock screen, or an update about app activity, Oregon Democratic Sen. Ron Wyden said in a new report. Wyden's report reflects the latest example of long-running tensions between tech companies and governments over law enforcement demands, which have stretched on for more than a decade. Governments around the world have particularly battled with tech companies over encryption, which provides critical protections to users and businesses while in some cases preventing law enforcement from pursuing investigations into messages sent over the internet."""
>>> classifier = pipeline(
"ner",
model="guishe/nuner-v1_fewnerd_fine_super",
aggregation_strategy="simple",
)
>>> classifier(text)
[{'entity_group': 'location_GPE',
'score': 0.9424858,
'word': ' Washington',
'start': 82,
'end': 92},
{'entity_group': 'organization_media/newspaper',
'score': 0.83160853,
'word': 'CNN',
'start': 94,
'end': 97},
{'entity_group': 'product_other',
'score': 0.80409557,
'word': ' iPhone',
'start': 157,
'end': 163},
{'entity_group': 'product_other',
'score': 0.7345743,
'word': ' Android',
'start': 168,
'end': 175},
{'entity_group': 'location_GPE',
'score': 0.70951134,
'word': ' US',
'start': 263,
'end': 265},
{'entity_group': 'organization_company',
'score': 0.9712124,
'word': ' Apple',
'start': 288,
'end': 293},
{'entity_group': 'organization_company',
'score': 0.9634242,
'word': ' Google',
'start': 298,
'end': 304},
{'entity_group': 'location_GPE',
'score': 0.9451448,
'word': ' US',
'start': 348,
'end': 350},
{'entity_group': 'organization_company',
'score': 0.96848464,
'word': ' Apple',
'start': 449,
'end': 454},
{'entity_group': 'organization_company',
'score': 0.964712,
'word': ' Google',
'start': 459,
'end': 465},
{'entity_group': 'location_GPE',
'score': 0.7764447,
'word': ' Oregon',
'start': 649,
'end': 655},
{'entity_group': 'organization_politicalparty',
'score': 0.7019166,
'word': ' Democratic',
'start': 656,
'end': 666},
{'entity_group': 'person_politician',
'score': 0.902996,
'word': ' Ron Wyden',
'start': 672,
'end': 681},
{'entity_group': 'person_politician',
'score': 0.82849455,
'word': ' Wyden',
'start': 704,
'end': 709}]
```
## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:----------------------|:----|:--------|:----|
| Sentence length | 1 | 24.4945 | 267 |
| Entities per sentence | 0 | 2.5832 | 88 |
### Training Hyperparameters
- learning_rate: 3e-5
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- weight_decay: 0.01
- num_epochs: 3
### Training Results
| Epoch | Validation Loss | Validation Precision | Validation Recall | Validation F1 | Validation Accuracy |
|:------:|:---------------:|:--------------------:|:-----------------:|:-------------:|:-------------------:|
| 1 | 0.2447 | 0.6678 | 0.6924 | 0.6799 | 0.9274 |
| 2 | 0.2345 | 0.6779 | 0.7113 | 0.6942 | 0.9303 |
| 3 | 0.2321 | 0.6821 | 0.7144 | 0.6979 | 0.9312 |
### Framework Versions
- Python: 3.10.8
- Transformers: 4.36.0
- PyTorch: 2.0.0+cu117
- Datasets: 2.18.0
- Tokenizers: 0.15.2
## Citation
### BibTeX
```
@misc{bogdanov2024nuner,
title={NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data},
author={Sergei Bogdanov and Alexandre Constantin and Timothée Bernard and Benoit Crabbé and Etienne Bernard},
year={2024},
eprint={2402.15343},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
``` |