KasuleTrevor

cdli-qwen3-asr-lg-typical-textpre-0p6b-v2-lr1e4

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KasuleTrevor/cdli-qwen3-asr-lg-textpre-0p6b-v2

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this model

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Audio

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Text

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KasuleTrevor/cdli-qwen3-asr-lg-typical-textpre-0p6b-v2-lr1e4 API & Inference Endpoint | FriendliAI

README

License: apache-2.0

Training Setup

Base model: KasuleTrevor/cdli-qwen3-asr-lg-textpre-0p6b-v2
Datasets: KasuleTrevor/lg_100hrs + dmusingu/yogera-dataset (Luganda split)
Training language tag: Luganda
Forced inference language: disabled
Epochs: 6
Batch size: 8
Gradient accumulation: 2
Learning rate: 0.0001
Scheduler: cosine
Warmup ratio: 0.03
Save steps: 500
Selected checkpoint: checkpoint-24500
Selection reason: best validation normalized WER (0.190353, CER 0.047268)

Final Test Metrics

Corpus WER (normalized): 0.249439
Corpus CER (normalized): 0.077364
Average utterance WER (normalized): 0.250726
Average utterance CER (normalized): 0.076617

Checkpoint Selection Evidence

Table with columns: checkpoint, wer_normalized, cer_normalized, avg_wer_normalized, avg_cer_normalized, eval_loss
checkpoint	wer_normalized	cer_normalized	avg_wer_normalized	avg_cer_normalized	eval_loss
checkpoint-24500	0.19035284789216333	0.047268286612115365	0.21259655916521408	0.04884738253040073	0.38649630546569824
checkpoint-25000	0.19096075062772566	0.04713216763635232	0.21404931274441566	0.04892694348420396	0.38632816076278687
checkpoint-25314

Source Dataset Breakdown

Table with columns: source_dataset, n_samples, mean_wer, mean_cer, median_wer, median_cer
source_dataset	n_samples	mean_wer	mean_cer	median_wer	median_cer
lg100	2828	0.2507	0.0766	0.2	0.0338

Artifacts

Result folder: results/checkpoint-24500/
Includes checkpoint validation summaries, final test predictions, scored outputs, and grouped analyses.