KasuleTrevor
/

cdli-qwen3-asr-lg-typical-0p6b

Automatic Speech Recognition

text-generation

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CDLI Qwen3-ASR Luganda Typical Speech Fine-tune

This repo contains the selected checkpoint checkpoint-82500 from the LG-QWEN3-ASR-TYPICAL-0P6B-T1 run.

Training Setup

Base model: Qwen/Qwen3-ASR-0.6B
Datasets: KasuleTrevor/lg_100hrs + dmusingu/yogera-dataset (Luganda split)
Training language tag: Luganda
Forced inference language: disabled
Epochs: 10
Batch size: 4
Gradient accumulation: 2
Learning rate: 2e-05
Scheduler: cosine
Warmup ratio: 0.03
Save steps: 500
Selected checkpoint: checkpoint-82500
Selection reason: existing test_metrics.json checkpoint

Final Test Metrics

Corpus WER (normalized): 0.285200
Corpus CER (normalized): 0.072388
Average utterance WER (normalized): 0.289360
Average utterance CER (normalized): 0.073545

Checkpoint Selection Evidence

checkpoint	step	eval_loss
checkpoint-81000	81000	0.1503518372774124
checkpoint-81500	81500	0.1503709256649017
checkpoint-82000	82000	0.1504658609628677
checkpoint-82500	82500	0.1502721607685089
checkpoint-83000	83000	0.1503749638795852
checkpoint-83500	83500	0.150355577468872
checkpoint-84000	84000	0.1503630727529525
checkpoint-84380	84380	0.1503630727529525

Source Dataset Breakdown

source_dataset	n_samples	mean_wer	mean_cer	median_wer	median_cer
lg100	2828	0.2894	0.0735	0.25	0.0426

Artifacts

Result folder: results/checkpoint-82500/
Includes checkpoint validation summaries, final test predictions, scored outputs, and grouped analyses.

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Safetensors

Model size

0.8B params

Tensor type

BF16

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Model tree for KasuleTrevor/cdli-qwen3-asr-lg-typical-0p6b

Base model

Qwen/Qwen3-ASR-0.6B

Finetuned

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Datasets used to train KasuleTrevor/cdli-qwen3-asr-lg-typical-0p6b