finance-sentiment-fr-base

Finance Sentiment FR (base)

Finance Sentiment FR (base) is a model based on camembert-base for analyzing sentiment of French financial news. It was trained on the translated version of Financial PhraseBank by Malo et al. (2014) 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-fr-base")
nlp("Le chiffre d'affaires net a augmenté de 30 % pour atteindre 36 millions d'euros.")

[{'label': 'positive', 'score': 0.9987998807375955}]

Performance

(The performance was evaluated on RTX 3090 gpu)

Changelog

• 2023-09-18: Initial release

License

This model is released under the MIT License, inherited from the base model camembert-base (MIT).

Attribution: CamemBERT — Inria, Facebook AI Research; Finance Sentiment FR (base) — bards.ai.

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 [email protected]