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README.md
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@@ -41,6 +41,7 @@ Chat-Node is a conversational variant of [Pacific-Prime 1.5B](https://huggingfac
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| Base Model | Pacific-Prime 1.5B v0.13.0 |
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| Parameters | ~1.52B |
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| Fine-tuning | SFT (Supervised Fine-Tuning) |
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| Dataset | [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) (20K samples) |
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| Current Epoch | 350 |
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| Precision | F32 |
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| Learning Rate | 2e-5 |
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| Batch Size | 4 |
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| Gradient Accumulation |
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| Weight Decay | 0.01 |
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| Warmup Ratio | 3% |
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| Gradient Checkpointing | Enabled |
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- [Base Model - Pacific-Prime 1.5B](https://huggingface.co/Pacific-Prime/pacific-prime)
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- [GitHub - complexity-deep](https://github.com/Complexity-ML/complexity-deep)
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- [PyPI - complexity-deep](https://pypi.org/project/complexity-deep/)
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---
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| Base Model | Pacific-Prime 1.5B v0.13.0 |
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| Parameters | ~1.52B |
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| Fine-tuning | SFT (Supervised Fine-Tuning) |
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| Base Checkpoint | pacific-prime-python epoch 450 |
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| Dataset | [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) (20K samples) |
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| Current Epoch | 350 |
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| Precision | F32 |
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|-----------|-------|
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| Learning Rate | 2e-5 |
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| Batch Size | 4 |
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| Gradient Accumulation | 8 (effective batch: 32) |
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| Weight Decay | 0.01 |
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| Warmup Ratio | 3% |
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| Gradient Checkpointing | Enabled |
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- [Base Model - Pacific-Prime 1.5B](https://huggingface.co/Pacific-Prime/pacific-prime)
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- [GitHub - complexity-deep](https://github.com/Complexity-ML/complexity-deep)
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- [PyPI - complexity-deep](https://pypi.org/project/complexity-deep/)
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- [GitHub - mu-inference](https://github.com/Complexity-ML/mu-inference)
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