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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 |
@@ -53,7 +54,7 @@ Chat-Node is a conversational variant of [Pacific-Prime 1.5B](https://huggingfac
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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 | 16 (effective batch: 64) |
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  | Weight Decay | 0.01 |
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  | Warmup Ratio | 3% |
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  | Gradient Checkpointing | Enabled |
@@ -164,6 +165,7 @@ print(tokenizer.decode(output[0].tolist()))
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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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  ---
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