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ethicalabs
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FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT

Text Classification
PEFT
Safetensors
English
text-generation-inference
finance
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Model Card for FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT

Training Loss

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, a friendly federated AI framework.

The adapter and benchmark results have been submitted to the FlowerTune LLM Finance Leaderboard.

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/

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Model tree for ethicalabs/FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT

Base model

HuggingFaceTB/SmolLM2-1.7B
Quantized
HuggingFaceTB/SmolLM2-1.7B-Instruct
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(7)
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Dataset used to train ethicalabs/FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT

Collection including ethicalabs/FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT