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SahilKumar75
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refactor: consolidate eval metrics
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#266:
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#423
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Chirag7433
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refactor: dataset pipeline stages
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refactor: env-based adapter config
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refactor: prompt template validation
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docs: architecture diagram in docs/
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docs: docstrings on trainer functions
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perf: Reflex state partitioning
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#260:
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perf: single MLflow run per experiment
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perf: parallel tokenization via num_proc
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feat: adapter version tagging
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feat: perplexity trend chart
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feat: ROUGE metric on eval page
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feat: estimated training time display
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feat: dataset preview before training
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#253:
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feat: vision fine-tuning progress stream
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feat: model leaderboard comparison page
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feat: multi-GPU FSDP training flag
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feat: HF Hub push after training
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feat: token budget warning on truncation
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#248:
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feat: dataset deduplication step
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feat: GGUF export after LoRA merge
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#246:
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feat: W&B tracker backend option
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#245:
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feat: Phi-4 base model support
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feat: Gemma-3 adapter config support
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#243:
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feat: LoRA alpha and dropout UI controls
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