Add CER, hyperparameters, and training logs to README

README.md

@@ -9,6 +9,7 @@ datasets:
 - andrewbawitlung/mizonal-v3
 metrics:
 - wer
+- cer
 model-index:
 - name: qwen3-asr-0.6b-mizonal3-E4-lus-v2026.06
   results:
@@ -24,6 +25,9 @@ model-index:
     - name: Wer
       type: wer
       value: 22.2146
+    - name: Cer
+      type: cer
+      value: 5.2331
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,6 +40,7 @@ Note: ~1 hour of conversational speech was added to this dataset version.
 
 It achieves the following results on the evaluation set:
 - Wer: 22.2146
+- Cer: 5.2331
 
 ## Model description
 
@@ -66,4 +71,33 @@ More information needed
 
 ## Training procedure
 
+### Training hyperparameters
+
 More information needed
+
+### Training results
+
+| step | epoch | train_loss | eval_loss | eval_wer | eval_cer | learning_rate | grad_norm |
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| 200 | 0.36429872495446264 | 0.3447 | 0.5943649411201477 | 0.43212999902695337 | 0.11491023466214306 | 1.9484200743494427e-05 | 27.875 |
+| 400 | 0.7285974499089253 | 0.2183 | 0.3971111476421356 | 0.3267490512795563 | 0.08078880407124682 | 1.855483271375465e-05 | 9.9375 |
+| 600 | 1.092896174863388 | 0.1382 | 0.33380210399627686 | 0.2717719178748662 | 0.0640373197625106 | 1.762546468401487e-05 | 9.4375 |
+| 800 | 1.4571948998178508 | 0.0984 | 0.305978924036026 | 0.2481268852778048 | 0.05917797568560927 | 1.6696096654275093e-05 | 4.1875 |
+| 1000 | 1.8214936247723132 | 0.1005 | 0.2858762741088867 | 0.23032013233433882 | 0.053611817924795024 | 1.5766728624535318e-05 | 4.46875 |
+| 1200 | 2.185792349726776 | 0.0763 | 0.28029486536979675 | 0.21737861243553566 | 0.05161506926774102 | 1.483736059479554e-05 | 6.125 |
+| 1400 | 2.5500910746812386 | 0.0566 | 0.2762223482131958 | 0.21134572346015373 | 0.049088210347752334 | 1.3907992565055763e-05 | 4.46875 |
+| 1600 | 2.9143897996357016 | 0.0576 | 0.2691744863986969 | 0.211443028121047 | 0.048081000848176424 | 1.2978624535315987e-05 | 4.25 |
+| 1800 | 3.278688524590164 | 0.0401 | 0.28155022859573364 | 0.20852388829424928 | 0.048522759400622 | 1.204925650557621e-05 | 3.984375 |
+| 2000 | 3.6429872495446265 | 0.0317 | 0.28601735830307007 | 0.20297752262333366 | 0.046861747243426635 | 1.111988847583643e-05 | 6.34375 |
+| 2200 | 4.007285974499089 | 0.0396 | 0.28564050793647766 | 0.20521552982387856 | 0.04709146169069833 | 1.0190520446096654e-05 | 4.40625 |
+| 2400 | 4.371584699453552 | 0.0219 | 0.30180197954177856 | 0.20541013914566508 | 0.04824003392705683 | 9.261152416356878e-06 | 4.46875 |
+| 2600 | 4.735883424408015 | 0.02 | 0.29633867740631104 | 0.20794006032888976 | 0.048982188295165395 | 8.331784386617101e-06 | 6.0 |
+| 2800 | 5.100182149362477 | 0.0109 | 0.3231176733970642 | 0.20755084168531673 | 0.04795730845349166 | 7.402416356877325e-06 | 2.1875 |
+| 3000 | 5.46448087431694 | 0.0113 | 0.32047730684280396 | 0.20745353702442346 | 0.04848741871642635 | 6.4730483271375465e-06 | 2.75 |
+| 3200 | 5.828779599271402 | 0.01 | 0.32516974210739136 | 0.20541013914566508 | 0.04781594571670907 | 5.54368029739777e-06 | 1.65625 |
+| 3400 | 6.193078324225866 | 0.0079 | 0.3389819264411926 | 0.21066459083390093 | 0.04993638676844784 | 4.614312267657993e-06 | 0.7734375 |
+| 3600 | 6.557377049180328 | 0.0084 | 0.33836600184440613 | 0.20969154422496838 | 0.049671331636980495 | 3.684944237918216e-06 | 1.2890625 |
+| 3800 | 6.9216757741347905 | 0.0083 | 0.33751723170280457 | 0.2071616230417437 | 0.04845207803223071 | 2.755576208178439e-06 | 2.171875 |
+| 4000 | 7.285974499089253 | 0.0087 | 0.34304559230804443 | 0.20725892770263696 | 0.048858495900480636 | 1.8262081784386618e-06 | 2.40625 |
+| 4200 | 7.6502732240437155 | 0.007 | 0.34443801641464233 | 0.2071616230417437 | 0.0491412213740458 | 8.968401486988849e-07 | 3.734375 |
+