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rubert-tiny2-russian-sentiment

seara / rubert-tiny2-russian-sentiment

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Total runs: 44.8K
24-hour runs: 0
7-day runs: 0
30-day runs: -3.1K
Model's Last Updated: October 30 2024
text-classification

Introduction of rubert-tiny2-russian-sentiment

Model Details of rubert-tiny2-russian-sentiment

This is RuBERT-tiny2 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-tiny2-russian-sentiment")
model("Привет, ты мне нравишься!")
# [{'label': 'positive', 'score': 0.9398769736289978}]
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: 512
batch_size: 64
optimizer: adam
lr: 0.00001
weight_decay: 0
epochs: 5

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

Eval results (on test split)
neutral positive negative macro avg weighted avg
precision 0.7 0.84 0.74 0.76 0.75
recall 0.74 0.83 0.69 0.75 0.75
f1-score 0.72 0.83 0.71 0.75 0.75
auc-roc 0.85 0.95 0.91 0.9 0.9
support 5196 3831 3599 12626 12626

Runs of seara rubert-tiny2-russian-sentiment on huggingface.co

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3-day runs
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7-day runs
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https://huggingface.co/seara/rubert-tiny2-russian-sentiment

rubert-tiny2-russian-sentiment install

rubert-tiny2-russian-sentiment is an open source model from GitHub that offers a free installation service, and any user can find rubert-tiny2-russian-sentiment on GitHub to install. At the same time, huggingface.co provides the effect of rubert-tiny2-russian-sentiment install, users can directly use rubert-tiny2-russian-sentiment installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Url of rubert-tiny2-russian-sentiment

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seara
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Updated:October 19 2024