The model has been trained to predict for English sentences, whether they are formal or informal.Base model: roberta-base
Datasets: GYAFC from Rao and Tetreault, 2018 and online formality corpus from Pavlick…
topic_classification_04
This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
Train Loss: 0.8325
Train Sparse Categorical Accuracy: 0.7237…
FinBERT is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained on the following three financial communication corpus.…
BERT-Tiny fine-tuned on on sms_spam dataset for spam detection
Validation accuray: 0.98
Source link
roberta-large-mnli
Table of Contents
Model Details
How To Get Started With the Model
Uses
Risks, Limitations and Biases
Training
Evaluation
Environmental Impact…
FlagEmbedding
More details please refer to our Github: FlagEmbedding.
English | 中文
FlagEmbedding focuses on retrieval-augmented LLMs, consisting of the following projects currently:
Long-Context LLM: Activation Beacon
Fine-tuning of LM :…
fastText (Language Identification)
fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be…
People Involved
LABRAK Yanis (1)
Affiliations
LIA, NLP team, Avignon University, Avignon, France.
Demo: How to use in HuggingFace Transformers Pipeline
Requires transformers: pip install transformers
from …