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bardsai/finance-sentiment-pl-fast
finance-sentiment-pl-fast is a text classification model from bardsai. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
Finance Sentiment PL (fast) is a distiluse-based model for analyzing sentiment of Polish financial news. It was trained on the translated version of Financial PhraseBank by Malo et al. (2014) for 10 epochs on single R…
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From the Hugging Face model README
Finance Sentiment PL (fast) is a distiluse-based model for analyzing sentiment of Polish 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.
You can use this model directly with a pipeline for sentiment-analysis:
from transformers import pipeline
nlp = pipeline("sentiment-analysis", model="bardsai/finance-sentiment-pl-fast")
nlp("Sprzedaż netto wzrosła o 30% do 36 mln EUR.")
[{'label': 'positive', 'score': 0.9999998807907104}]
| Metric | Value |
|---|---|
| f1 macro | 0.933 |
| precision macro | 0.950 |
| recall macro | 0.918 |
| accuracy | 0.944 |
| samples per second | 268.1 |
(The performance was evaluated on RTX 3090 gpu)
This model is released under the Apache License 2.0, inherited from the base model sentence-transformers/distiluse-base-multilingual-cased-v1 (Apache 2.0).
Attribution: distiluse-base-multilingual-cased-v1 — Sentence-Transformers (UKP Lab); Finance Sentiment PL (fast) — 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]