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TMLM-Haiku-1

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Update README.md

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@@ -61,9 +61,9 @@ TinyMemoryLM implements several research-focused modifications to standard trans
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  Below is the training loss progression during the instruction tuning phase. Note the stability measures taken to prevent collapse in such a small parameter regime.
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- ![Training Loss Curve]({model/loss_curve.png})
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- ##Limitations & Expectations
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  Please manage your expectations when using TinyMemoryLM:
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  Below is the training loss progression during the instruction tuning phase. Note the stability measures taken to prevent collapse in such a small parameter regime.
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+ ![Training Loss Curve]({model/loss_curve.png})
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+ ## Limitations & Expectations
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  Please manage your expectations when using TinyMemoryLM:
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