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rubert-base-cased-russian-sentiment

seara / rubert-base-cased-russian-sentiment

Run on huggingface.co
huggingface.co
Total runs: 159.6K
24-hour runs: -5.9K
7-day runs: -13.5K
30-day runs: -11.7K
Model's Last Updated: October 29 2024
text-classification

Introduction of rubert-base-cased-russian-sentiment

Model Details of rubert-base-cased-russian-sentiment

This is RuBERT model fine-tuned for sentiment classification of short Russian texts. The task is a multi-class classification with the following labels: 

0: neutral
1: positive
2: negative

Label to Russian label: 

neutral: нейтральный
positive: позитивный
negative: негативный
Usage 
from transformers import pipeline
model = pipeline(model="seara/rubert-base-cased-russian-sentiment")
model("Привет, ты мне нравишься!")
# [{'label': 'positive', 'score': 0.9818321466445923}]
Dataset

This model was trained on the union of the following datasets:

  • Kaggle Russian News Dataset
  • Linis Crowd 2015
  • Linis Crowd 2016
  • RuReviews
  • RuSentiment

An overview of the training data can be found on S. Smetanin Github repository .

Download links for all Russian sentiment datasets collected by Smetanin can be found in this repository .

Training

Training were done in this project with this parameters: 

tokenizer.max_length: 256
batch_size: 32
optimizer: adam
lr: 0.00001
weight_decay: 0
epochs: 2

Train/validation/test splits are 80%/10%/10%.

Eval results (on test split)
neutral positive negative macro avg weighted avg
precision 0.72 0.85 0.75 0.77 0.77
recall 0.75 0.84 0.72 0.77 0.77
f1-score 0.73 0.84 0.73 0.77 0.77
auc-roc 0.86 0.96 0.92 0.91 0.91
support 5196 3831 3599 12626 12626

Runs of seara rubert-base-cased-russian-sentiment on huggingface.co

159.6K
Total runs
-5.9K
24-hour runs
-10.8K
3-day runs
-13.5K
7-day runs
-11.7K
30-day runs

More Information About rubert-base-cased-russian-sentiment huggingface.co Model

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https://huggingface.co/seara/rubert-base-cased-russian-sentiment

rubert-base-cased-russian-sentiment install

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

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seara
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Updated:October 19 2024