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Finance Sentiment JA (base)

Finance Sentiment JA (base) is a model based on bert-base-japanese for analyzing sentiment of Japanese financial news. It was trained on the translated version of Financial PhraseBank by Malo et al. (20014) for 10 epochs on single RTX3090 gpu.

The model will give you a three labels: positive, negative and neutral.

How to use

You can use this model directly with a pipeline for sentiment-analysis:

from transformers import pipeline

nlp = pipeline("sentiment-analysis", model="bardsai/finance-sentiment-ja-base")
[{'label': 'positive', 'score': 0.9987998807375955}]


Metric Value
f1 macro 0.959
precision macro 0.959
recall macro 0.959
accuracy 0.967
samples per second 134.9

(The performance was evaluated on RTX 3090 gpu)


  • 2023-09-18: Initial release

About bards.ai

At bards.ai, we focus on providing machine learning expertise and skills to our partners, particularly in the areas of nlp, machine vision and time series analysis. Our team is located in Wroclaw, Poland. Please visit our website for more information: bards.ai

Let us know if you use our model :). Also, if you need any help, feel free to contact us at info@bards.ai

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