cdli-qwen3-asr-lg-typical-textpre-1p7b-v2-finetune – AI Model by KasuleTrevor | AlphaNeural AI

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KasuleTrevor/
cdli-qwen3-asr-lg-typical-textpre-1p7b-v2-finetune

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automatic-speech-recognition

KasuleTrevor/lg_100hrs

dmusingu/yogera-dataset

endpoints_compatible

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CDLI Qwen3-ASR Luganda Typical Speech Fine-tune

This repo contains the selected checkpoint checkpoint-25000 from the LG-QWEN3-ASR-TYPICAL-TEXTPRE-1P7B-V2-STAGE1-LUGANDA-FORCED run.

Training Setup

Base model source: local checkpoint /workspace/qwen3_asr_lg_textpre_1p7b_v2/merged
Datasets: KasuleTrevor/lg_100hrs + dmusingu/yogera-dataset (Luganda split)
Training language tag: Luganda
Forced inference language: Luganda
Epochs: 10
Batch size: 4
Gradient accumulation: 2
Learning rate: 2e-05
Scheduler: cosine
Warmup ratio: 0.03
Save steps: 500
Selected checkpoint: checkpoint-25000
Selection reason: fallback best eval_loss (0.399143)

Final Test Metrics

Corpus WER (normalized): 0.380703
Corpus CER (normalized): 0.095308
Average utterance WER (normalized): 0.384094
Average utterance CER (normalized): 0.096406

Checkpoint Selection Evidence

checkpoint	step	eval_loss
checkpoint-24000	24000	0.3991716802120209
checkpoint-24500	24500	0.3993058204650879
checkpoint-25000	25000	0.3991433680057525
checkpoint-25314	25314	0.3991433680057525

Source Dataset Breakdown

source_dataset	n_samples	mean_wer	mean_cer	median_wer	median_cer
lg100	2828	0.3841	0.0964	0.3333	0.0652

Artifacts

Result folder: results/checkpoint-25000/
Includes checkpoint validation summaries, final test predictions, scored outputs, and grouped analyses.