Instructions to use zeronamoni/backtesting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use zeronamoni/backtesting with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for zeronamoni/backtesting to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for zeronamoni/backtesting to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for zeronamoni/backtesting to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="zeronamoni/backtesting", max_seq_length=2048, )
dd v5_baseline metrics to comparison table
Browse files
README.md
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# backtesting - v2_baseline
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## Evaluation Results
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| Metric | Value | v4_pure_KR |
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| **Evaluation Loss** | 2.0091 |
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| **Perplexity (PPL)** | 7.46 |
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| **BPC** | 2.8985 |
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# backtesting - v2_baseline
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## Evaluation Results
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| Metric | Value | v4_pure_KR | v5_baseline |
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| **Evaluation Loss** | 2.0091 |
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| **Perplexity (PPL)** | 7.46 |
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| **BPC** | 2.8985 |
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