cdli-qwen3-asr-lg-atypical-stage3-1p7b-base-b8 – AI Model by KasuleTrevor | AlphaNeural AI

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KasuleTrevor/
cdli-qwen3-asr-lg-atypical-stage3-1p7b-base-b8

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automatic-speech-recognition

atypical-speech

cdli/ugandan_luganda_nonstandard_speech_v1.0

KasuleTrevor/cdli-qwen3-asr-lg-typical-1p7b-base-finetune

endpoints_compatible

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CDLI Qwen3-ASR Luganda Atypical Speech Fine-tune

This repo contains the selected checkpoint checkpoint-1000 from the LG-QWEN3-ASR-ATYPICAL-STAGE3-1P7B-BASE-B8 run.

Training Setup

Base model: KasuleTrevor/cdli-qwen3-asr-lg-typical-1p7b-base-finetune
Dataset: cdli/ugandan_luganda_nonstandard_speech_v1.0
Split files: train_cleaned.tsv, validation_cleaned.tsv, test_cleaned.tsv
Training language tag: Luganda
Forced inference language: disabled
Epochs: 10
Batch size: 4
Gradient accumulation: 4
Learning rate: 0.0001
Scheduler: cosine
Warmup ratio: 0.03
Save steps: 500
Selected checkpoint: checkpoint-1000
Selection reason: fallback best eval_loss (0.512122)

Final Test Metrics

Primary WER: avg utterance WER normalized, capped at 1.0 = 0.497477
Primary CER: avg utterance CER normalized, capped at 1.0 = 0.230633
Corpus WER (normalized, uncapped): 0.633333
Corpus CER (normalized, uncapped): 0.322517

Checkpoint Selection Evidence

checkpoint	step	eval_loss
checkpoint-1000	1000	0.5121216177940369

Severity Breakdown

severity_speech_impairment	n_samples	n_speakers	mean_wer	mean_cer	median_wer	median_cer
Severe (frequent breakdowns)	315	3	0.5971	0.3095	0.6	0.2698
Moderate (requires effort to understand)	347	3	0.5123	0.2329	0.5	0.1667
Mild (easily understood with minimal effort)	365	3	0.3975	0.1604	0.375	0.102

Artifacts

Result folder: results/checkpoint-1000/
Includes checkpoint validation summaries, final test predictions, scored outputs, and grouped metadata analyses.