Model: jengyang/trained-gemma-sentences_allagree-financial-sentiment
Author: jengyang
Library: peft
Tags: peft, safetensors, financial-sentiment-analysis, fine-tuned, lora, financial-phrasebank, gemma, en, dataset:financial_phrasebank, base_model:google/gemma-7b, base_model:adapter:google/gemma-7b, license:apache-2.0, model-index, region:us
Base models (adapter): id: google/gemma-7b
Card metadata: language: en
license: apache-2.0
base_model: google/gemma-7b
tags: financial-sentiment-analysis, fine-tuned, peft, lora, financial-phrasebank, gemma
datasets: financial_phrasebank
metrics: accuracy, f1, precision, recall
model-index: name: trained-gemma-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: 0.876
name: Accuracy
verified: no, type: f1
value: 0.87
name: F1 Score
verified: no, type: precision
value: 0.875
name: Precision
verified: no, type: recall
value: 0.865
name: Recall
verified: no
Likes: 0 | All-time downloads: 36
Created: 2025-07-05 11:08:44