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--- |
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license: mit |
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datasets: |
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- FinGPT/fingpt-sentiment-train |
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language: |
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- en |
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base_model: |
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- HuggingFaceTB/SmolLM2-1.7B-Instruct |
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pipeline_tag: text-classification |
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library_name: peft |
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tags: |
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- text-generation-inference |
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- finance |
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--- |
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# Model Card for FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT |
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## Evaluation Results (Accuracy) |
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- **FiQA**: 56.58 % |
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- **FPB**: 71.37 % |
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- **TFNS**: 75.75 % |
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- **Average**: 67.90 % |
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## Model Details |
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This PEFT adapter has been trained by using [Flower](https://flower.ai/), a friendly federated AI framework. |
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The adapter and benchmark results have been submitted to the [FlowerTune LLM Finance Leaderboard](https://flower.ai/benchmarks/llm-leaderboard/finance/). |
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Please check the following GitHub project for details on how to reproduce training and evaluation steps: |
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[https://github.com/ethicalabs-ai/FlowerTune-SmolLM2-1.7B-Instruct-Finance/](https://github.com/ethicalabs-ai/FlowerTune-SmolLM2-1.7B-Instruct-Finance/) |
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