KasuleTrevor/cdli-qwen3-asr-lg-atypical-stage3-1p7b-base
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CDLI Qwen3-ASR Luganda Atypical Speech Fine-tune
This repo contains the selected checkpoint checkpoint-500 from the LG-QWEN3-ASR-ATYPICAL-STAGE3-1P7B-BASE run.
Training Setup
- Base model: KasuleTrevor/cdli-qwen3-asr-lg-typical-1p7b-base-finetune
- Dataset: cdli/ugandanlugandanonstandardspeechv1.0
- Split files:
train_cleaned.tsv,validation_cleaned.tsv,test_cleaned.tsv - Training language tag:
Luganda - Forced inference language: disabled
- Epochs: 3
- Batch size: 4
- Gradient accumulation: 4
- Learning rate: 5e-05
- Scheduler: cosine
- Warmup ratio: 0.03
- Save steps: 500
- Selected checkpoint: checkpoint-500
- Selection reason: best validation avgwernormalized_capped (0.557665, corpus WER 0.659176)
Final Test Metrics
- Primary WER: avg utterance WER normalized, capped at 1.0 = 0.427355
- Primary CER: avg utterance CER normalized, capped at 1.0 = 0.182363
- Corpus WER (normalized, uncapped): 0.542166
- Corpus CER (normalized, uncapped): 0.247597
Checkpoint Selection Evidence
Severity Breakdown
Artifacts
- Result folder:
results/checkpoint-500/ - Includes checkpoint validation summaries, final test predictions, scored outputs, and grouped metadata analyses.
