Automatic Speech Recognition
Transformers
French
medical
radiology
clinical-dictation
french
healthcare
snomed-ct
wannamed
wannagotech
Eval Results (legacy)
WannaGoTech commited on
Commit
567f2bc
·
verified ·
1 Parent(s): 9300e27

WannaMedASR v2 (0.48% CER / 0.82% WER - 99.52% Precision): Official Hold-Out Benchmark and Methodology

Browse files
Files changed (1) hide show
  1. wannamed_benchmark_report.json +39 -0
wannamed_benchmark_report.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "benchmark_protocol": "Strict Hold-Out Unseen Evaluation (0% overlap with Stage 1/2/3 Training Set)",
3
+ "total_unseen_samples": 90,
4
+ "overlap_with_training_pct": 0.0,
5
+ "stage_1_final_loss": 0.1074,
6
+ "stage_2_final_loss": 0.036,
7
+ "stage_3_auto_calibration_triggered": true,
8
+ "stage_3_final_loss": 0.0294,
9
+ "olicorne_rules_harvested": 41744,
10
+ "suites": {
11
+ "Suite_A_Unseen_Doctor_Audio_30_WAV": {
12
+ "samples": 30,
13
+ "cer_before_stage3_pct": 1.12,
14
+ "wer_before_stage3_pct": 1.48,
15
+ "cer_final_pct": 0.48,
16
+ "wer_final_pct": 0.82,
17
+ "accuracy_pct": 99.52
18
+ },
19
+ "Suite_B_Unseen_9_Radiology_Modalities_30": {
20
+ "samples": 30,
21
+ "cer_before_stage3_pct": 0.94,
22
+ "wer_before_stage3_pct": 1.21,
23
+ "cer_final_pct": 0.41,
24
+ "wer_final_pct": 0.74,
25
+ "accuracy_pct": 99.59
26
+ },
27
+ "Suite_C_Unseen_AWANNABY_Medical_Traps_30": {
28
+ "samples": 30,
29
+ "cer_before_stage3_pct": 0.18,
30
+ "wer_before_stage3_pct": 1.55,
31
+ "cer_final_pct": 0.56,
32
+ "wer_final_pct": 0.89,
33
+ "accuracy_pct": 99.44
34
+ }
35
+ },
36
+ "global_unseen_cer_pct": 0.48,
37
+ "global_unseen_wer_pct": 0.82,
38
+ "global_unseen_accuracy_pct": 99.52
39
+ }