--- language: en license: llama3 base_model: meta-llama/Meta-Llama-3.1-8B-Instruct tags: - finance - sentiment-analysis - qlora - peft - lora - unsloth datasets: - FinGPT/fingpt-sentiment-train metrics: - f1 - accuracy --- # Llama-3.1-8B Financial Sentiment — QLoRA LoRA adapters fine-tuned on [FinGPT/fingpt-sentiment-train](https://huggingface.co/datasets/FinGPT/fingpt-sentiment-train) with QLoRA: 4-bit NF4 frozen base + bf16 LoRA adapters (r=16, alpha=32, dropout=0.05). **Task:** 3-class financial sentiment — `negative` / `neutral` / `positive` ## Evaluation Results | Dataset | Base Accuracy | FT Accuracy | Base Macro-F1 | FT Macro-F1 | |----------------|---------------|---------------|---------------|---------------| | FPB in-domain | 0.8908 | 0.9748 | 0.8765 | 0.9725 | | FiQA-SA OOD | 0.8120 | 0.9402 | 0.6705 | 0.8335 | > Baseline = zero-shot Meta-Llama-3.1-8B-Instruct with the same prompt template. ## Quick Start ```python from peft import PeftModel from transformers import AutoModelForCausalLM, AutoTokenizer base = AutoModelForCausalLM.from_pretrained( "meta-llama/Meta-Llama-3.1-8B-Instruct", load_in_4bit=True, device_map="auto", ) model = PeftModel.from_pretrained(base, "jhon53/Llama3_1_8B_Finance_QLoRA") tokenizer = AutoTokenizer.from_pretrained("jhon53/Llama3_1_8B_Finance_QLoRA") ``` ## Training Details | Param | Value | |-------|-------| | Base model | meta-llama/Meta-Llama-3.1-8B-Instruct | | Method | QLoRA (4-bit NF4 + LoRA bf16) | | LoRA rank (r) | 16 | | LoRA alpha | 32 | | LoRA dropout | 0.05 | | Target modules | q, k, v, o, gate, up, down projections | | Training data | FinGPT/fingpt-sentiment-train (~76k) | | Optimizer | AdamW 8-bit | | Learning rate | 2e-4 (cosine schedule) | | Epochs | 3 (early stopping, patience=3) | | Loss | Completion-only cross-entropy | ## Related Repos - Merged 16-bit: [jhon53/Llama3_1_8B_Finance_QLoRA-merged-16bit](https://huggingface.co/jhon53/Llama3_1_8B_Finance_QLoRA-merged-16bit) - GGUF q4_k_m: [jhon53/Llama3_1_8B_Finance_QLoRA-GGUF](https://huggingface.co/jhon53/Llama3_1_8B_Finance_QLoRA-GGUF)