deepset / flan-t5-xl-squad2

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Model's Last Updated: September 26 2024
question-answering

Introduction of flan-t5-xl-squad2

Model Details of flan-t5-xl-squad2

flan-t5-xl for Extractive QA

This is the flan-t5-xl model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Extractive Question Answering.

Overview

Language model: flan-t5-xl
Language: English
Downstream-task: Extractive QA
Training data: SQuAD 2.0
Eval data: SQuAD 2.0
Code: See an example QA pipeline on Haystack

Hyperparameters
learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4.0
Usage
In Haystack

Haystack is an NLP framework by deepset. You can use this model in a Haystack pipeline to do extractive question answering at scale (over many documents). To load the model in Haystack :

# NOTE: This only works with Haystack v2.0!
reader = ExtractiveReader("deepset/flan-t5-xl-squad2")
In Transformers
from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline

model_name = "deepset/flan-t5-xl-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)
Authors

Sebastian Husch Lee: sebastian.huschlee [at] deepset.ai

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.

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

Runs of deepset flan-t5-xl-squad2 on huggingface.co

59
Total runs
-1
24-hour runs
3
3-day runs
2
7-day runs
-55
30-day runs

More Information About flan-t5-xl-squad2 huggingface.co Model

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flan-t5-xl-squad2 install

flan-t5-xl-squad2 is an open source model from GitHub that offers a free installation service, and any user can find flan-t5-xl-squad2 on GitHub to install. At the same time, huggingface.co provides the effect of flan-t5-xl-squad2 install, users can directly use flan-t5-xl-squad2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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