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README
License: apache-2.0Training Setup
- Base model: KasuleTrevor/cdli-qwen3-asr-lg-typical-textpre-0p6b-finetune
- 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-14300
- Selection reason: fallback best eval_loss (0.392313)
Final Test Metrics
- Corpus WER (normalized): 0.337463
- Corpus CER (normalized): 0.088204
- Average utterance WER (normalized): 0.340240
- Average utterance CER (normalized): 0.089057
Checkpoint Selection Evidence
| checkpoint | step | eval_loss |
|---|---|---|
| checkpoint-14300 | 14300 | 0.3923130631446838 |
Source Dataset Breakdown
| source_dataset | n_samples | mean_wer | mean_cer | median_wer | median_cer |
|---|---|---|---|---|---|
| lg100 | 2828 | 0.3402 | 0.0891 | 0.3 | 0.0563 |
Artifacts
- Result folder:
results/checkpoint-14300/ - Includes checkpoint validation summaries, final test predictions, scored outputs, and grouped analyses.
Model provider
KasuleTrevor
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Base
KasuleTrevor/cdli-qwen3-asr-lg-typical-textpre-0p6b-finetune-or
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this model
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