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README
License: apache-2.0Training 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.
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