● All 3 benchmarks complete. Beautiful improvement curve.                                
                                                                                       
  Listed 1 directory (ctrl+o to expand)                                                    
                                                                                           
● All 3 checkpoints benchmarked and outputs in place for the dashboard. Progression looks
  excellent — the model has clearly learned the Indic language conditioning between 10k →  
  60k.                                                                                    
                                                                                           
  Cohere-Transcribe progression (overall WER-norm / MER):                                  
                                                                                           
  ┌────────────┬──────────┬────────┬─────────────┬───────────────┬─────────────┐           
  │ Checkpoint │ WER-norm │  MER   │ Hindi WER-n │ Bengali WER-n │ Tamil WER-n │           
  ├────────────┼──────────┼────────┼─────────────┼───────────────┼─────────────┤           
  │ ckpt-20000 │ 86.77%   │ 53.07% │ 61.39%      │ 75.82%        │ 117.02%     │           
  ├────────────┼──────────┼────────┼─────────────┼───────────────┼─────────────┤
  │ ckpt-40000 │ 54.50%   │ 24.34% │ 38.04%      │ 44.03%        │ 72.67%      │           
  ├────────────┼──────────┼────────┼─────────────┼───────────────┼─────────────┤           
  │ ckpt-60000 │ 44.73%   │ 17.02% │ 28.42%      │ 40.57%        │ 56.78%      │           
  └────────────┴──────────┴────────┴─────────────┴───────────────┴─────────────┘           
                                                                                           
  Big leaps every 20k steps. Hindi went from 61% → 28% WER-norm. The MER (content accuracy)
   at ckpt-60000 is 17% overall — meaning the model gets the right characters, with most of
   the WER-norm coming from word segmentation. Tamil/Malayalam/Kannada are still the       
  weakest (Dravidian agglutinative languages).                                             
                                                                                           
  Files at benchmark_outputs/cohere-transcribe/{ckpt-20000,ckpt-40000,ckpt-60000}/ ready   
  for the dashboard. Ready for ckpt-80000 whenever it's pushed.                            
                                                                                           
✻ Cogitated for 10m 27s                                                                    
                                                                                           
● Background command "Check progress after 4min" completed (exit code 0)                   
                                                                                           
● Background command "Run all 3 benchmarks sequentially" completed (exit code 0)           
                                                                                           
● Acknowledged — both background tasks are complete. All 3 cohere-transcribe checkpoints   
  (20k/40k/60k) are benchmarked and the schema-v1 outputs are sitting in
  benchmark_outputs/cohere-transcribe/ ready for the dashboard.