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hf-cli-jobs-uv-run-scripts

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hf-cli-jobs-uv-run-scripts

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30 days ago

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  2. Upload job.py with huggingface_hub

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  23. Upload job.py with huggingface_hub

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  1. Upload train_hf_jobs_decoder_only.py with huggingface_hub

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  1. Add Optuna search + Hub checkpoints + CTranslate2 conversion

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  1. Upload train_hf_jobs.py with huggingface_hub

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  3. Upload train_hf_jobs.py with huggingface_hub

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  4. Skip Optuna search, add hub checkpointing + faster-whisper CT2 conversion

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  1. Upload train_hf_jobs.py with huggingface_hub

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  2. Upload train_hf_jobs.py with huggingface_hub

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  1. Upload train_hf_jobs.py with huggingface_hub

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  3. Upload train_hf_jobs.py with huggingface_hub

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  4. Upload train_hf_jobs.py with huggingface_hub

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  1. Upload train_hf_jobs.py with huggingface_hub

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  2. Upload train_hf_jobs.py with huggingface_hub

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  3. fix: LR range 1e-5 to 2e-4 matching Colab

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  4. fix: fallback to random split when single-recording-per-phrase; guard empty val

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  5. improve accuracy: stratified split, SpecAugment search, TRIAL_STEPS=250, FINAL_STEPS=1500, train-sample eval

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  6. fix: disable_tqdm, patch_whisper logging, audio diagnostics, dedupe score_on_val

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  7. Match Colab: load processor without language/task, use set_prefix_tokens

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  8. Add language/task to generate(), restore TRIAL_STEPS=600

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  9. Revert training label normalization — normalize eval only

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  1. Cap warmup_steps to [0, 25, 50] for 300-step trials

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  2. Normalize punctuation in eval and training labels using BasicTextNormalizer

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