Model: jengyang/trained-llama3-sentences_allagree-financial-sentiment
Author: jengyang
Library: peft
Tags: peft, safetensors, financial-sentiment-analysis, fine-tuned, lora, financial-phrasebank, llama3, en, dataset:financial_phrasebank, base_model:meta-llama/Meta-Llama-3-8B, base_model:adapter:meta-llama/Meta-Llama-3-8B, license:apache-2.0, model-index, region:us
Base models (adapter): id: meta-llama/Meta-Llama-3-8B
Card metadata: language: en
license: apache-2.0
base_model: meta-llama/Meta-Llama-3-8B
tags: financial-sentiment-analysis, fine-tuned, peft, lora, financial-phrasebank, llama3
datasets: financial_phrasebank
metrics: accuracy, f1, precision, recall
model-index: name: trained-llama3-sentences_allagree
results: task: type: text-classification
name: Financial Sentiment Analysis
dataset: type: financial_phrasebank
name: Financial PhraseBank
config: sentences_allagree
metrics: type: accuracy
value: 0.83
name: Accuracy
verified: no, type: f1
value: 0.825
name: F1 Score
verified: no, type: precision
value: 0.835
name: Precision
verified: no, type: recall
value: 0.82
name: Recall
verified: no
Likes: 0 | All-time downloads: 78
Created: 2025-07-05 10:42:53