Frequently asked questions relating to NLP. Many of these may be questions that are often asked over and over, duplicates would likely be closed in favor of these. Add the best answer (using the ...

Berthold♦

answered Aug 2, 2023 at 17:43

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Transformer Model Repeating Same Codon During Inference Despite High Training Accuracy

I'm working on a transformer-based model to translate amino acids to codons. During training and validation, my model achieves 95-98% accuracy. However, during inference, I encounter an issue where ...

Farshid B

modified 1 hour ago

-1 votes

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How to Implement NLP for Text Analysis in Evaluating Business Projects?

I need to evaluate business activities (projects) for eligibility based on specific criteria. We gather data through interviews with stakeholders, capturing details like project names, descriptions, ...

desertnaut

59.6k

modified 18 hours ago

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Error processing user query: TypeError: Cannot read properties of undefined (reading '0')

I want to select data from my supabase DB using a function ( calling it with rpc ). However Im getting this problem: Error processing user query: TypeError: Cannot read properties of undefined (...

ThorirSf

asked 21 hours ago

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how to match job title with vacancies name or vacancy descriptions?

How to match 400 professions to 10,000 job vacancies? I have two files: one contains the profession names and the sector to which they belong, and the second file is 10,000 vacancies from hh.kz, ...

Maulen Omirtay

modified 22 hours ago

-1 votes

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How to Estimate GPU Memory for training and inference, Data Requirements, and Training Time for Large Language Models?

This is a very concrete and well-defined computer engineering question. I don't understand why someone would want to close it. Today, I faced this question during an interview for an ML Engineer ...

maplemaple

1,435

modified 12 hours ago

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Saving Fine-tune Falcon HuggingFace LLM Model

I'm trying to save my model so it won't need to re-download the base model every time I want to use it but nothing seems to work for me, I would love your help with it. The following parameters are ...

Johnny Cheesecutter

1,782

modified 19 hours ago

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Error while converting google flan T5 model to onnx

I am looking to convert flan-T5 model downloaded from Hugging face into onnx format and make inference with the same. My input data is the symptoms of disease and expected output is the Disease name ...

alvas

120k

answered May 15 at 15:44

Answer

Use https://huggingface.co/datasets/bakks/flan-t5-onnx instead. And to convert the google/flan-t5, see https://huggingface.co/datasets/bakks/flan-t5-onnx/blob/main/exportt5.py from pathlib import ...

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alvas

120k

answered May 15 at 15:44

1 vote

1 answer

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Why did my fine-tuning T5-Base Model for a sequence-to-sequence task has short incomplete generation?

I am trying to fine-tune a t5-base model for creating appropriate question against a compliance item. Compliance iteams are paragraph of texts and my question are in the past format of them. I have ...

alvas

120k

modified May 8 at 17:17

Answer

Because of: labels = tokenizer(targets, max_length=32, padding="max_length", truncation=True) Most probably your model has learnt to just output/generate outputs that are ~32 tokens. Try: ...

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alvas

120k

answered May 8 at 17:16

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1 answer

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How to save the LLM2Vec model as a HuggingFace PreTrainedModel object?

Typically, we should be able to save a merged base + PEFT model, like this: import torch from transformers import AutoTokenizer, AutoModel, AutoConfig from peft import PeftModel # Loading base MNTP ...

alvas

120k

answered Apr 12 at 18:33

Answer

Wrapping the LLM2Vec object around like in https://stackoverflow.com/a/74109727/610569 We can try this: import torch.nn as nn from transformers import PreTrainedModel, PretrainedConfig from ...

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alvas

120k

answered Apr 12 at 18:33

3 votes

1 answer

510 views

Mistral model generates the same embeddings for different input texts

I am using pre-trained LLM to generate a representative embedding for an input text. But it is wired that the output embeddings are all the same regardless of different input texts. The codes: from ...

alvas

120k

answered Apr 11 at 12:13

Answer Accepted

You're not slicing it the dimensions right at outputs.last_hidden_state[0, 0, :].numpy() Q: What is the 0th token in all inputs? A: Beginning of sentence token (BOS) Q: So that's the "embeddings&...

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alvas

120k

answered Apr 11 at 12:13

4 votes

1 answer

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How to fine-tune a Mistral-7B model for machine translation?

There's a lot of tutorials online that uses raw text affix with arcane syntax to indicate document boundary and accessed through Huggingface datasets.Dataset object through the text key. E.g. from ...

ghost21blade

modified Mar 24 at 5:23

Answer

The key is to re-format the data from a traditional machine translation dataset that splits the source and target text and piece them up together in a format that the model expects. For the Mistral 7B ...

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alvas

120k

answered Mar 13 at 20:56

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467 votes

18 answers

103k views

How does the Google "Did you mean?" Algorithm work? [closed]

I've been developing an internal website for a portfolio management tool. There is a lot of text data, company names etc. I've been really impressed with some search engines ability to very quickly ...

CommunityBot

modified May 10, 2018 at 20:23

354 votes

7 answers

219k views

What is "entropy and information gain"?

I am reading this book (NLTK) and it is confusing. Entropy is defined as: Entropy is the sum of the probability of each label times the log probability of that same label How can I apply ...

Waseem Ahmad Naeem

answered Aug 1, 2018 at 17:26

160 votes

34 answers

425k views

spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit)

what is difference between spacy.load('en_core_web_sm') and spacy.load('en')? This link explains different model sizes. But i am still not clear how spacy.load('en_core_web_sm') and spacy.load('en') ...

Dipesh Paul

answered Sep 19, 2023 at 10:25

284 votes

14 answers

304k views

How to compute the similarity between two text documents?

I am looking at working on an NLP project, in any programming language (though Python will be my preference). I want to take two documents and determine how similar they are.

Milad

answered Aug 28, 2023 at 5:26

216 votes

18 answers

223k views

googletrans stopped working with error 'NoneType' object has no attribute 'group'

I was trying googletrans and it was working quite well. Since this morning I started getting below error. I went through multiple posts from stackoverflow and other sites and found probably my ip is ...

Amir Charkhi

modified Mar 23, 2023 at 7:49

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