darkpowerxo
caddef1db8
Remove the custom peft/ directory (LoRA/DoRA adapters, trainer, data pipeline) in favor of a lightweight fine-tuning example that uses the standard HuggingFace Transformers + PEFT ecosystem. The new example at timesfm-forecasting/examples/finetuning/ demonstrates LoRA fine-tuning via TimesFm2_5ModelForPrediction and the peft library, based on the approach by @kashif at HuggingFace. - Remove peft/ (8 files) - Add timesfm-forecasting/examples/finetuning/finetune_lora.py - Add timesfm-forecasting/examples/finetuning/README.md - Update README.md to reference new example - Clean up .gitignore (remove peft_checkpoints/)
11 lines
106 B
Plaintext
11 lines
106 B
Plaintext
.venv/
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dist/
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__pycache__/
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*.egg-info/
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checkpoints/
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wandb/
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datasets/
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results/
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uv.lock
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development_setup.md
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