---
license: mit
datasets:
- FinGPT/fingpt-sentiment-train
language:
- en
base_model:
- HuggingFaceTB/SmolLM2-1.7B-Instruct
pipeline_tag: text-classification
library_name: peft
tags:
- text-generation-inference
- finance
---

# Model Card for FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT

![Training Loss](./train_loss.png)

## Evaluation Results (Accuracy)

- **FiQA**: 56.58 %  
- **FPB**: 71.37 %  
- **TFNS**: 75.75 %  
- **Average**: 67.90 %

## Model Details

This PEFT adapter has been trained by using [Flower](https://flower.ai/), a friendly federated AI framework.

The adapter and benchmark results have been submitted to the [FlowerTune LLM Finance Leaderboard](https://flower.ai/benchmarks/llm-leaderboard/finance/).

Please check the following GitHub project for details on how to reproduce training and evaluation steps:

[https://github.com/ethicalabs-ai/FlowerTune-SmolLM2-1.7B-Instruct-Finance/](https://github.com/ethicalabs-ai/FlowerTune-SmolLM2-1.7B-Instruct-Finance/)