Add VisualEars FastConformer full A+B benchmark rows
Browse files
visualears_fastconformer_full_ab_ctc_lm_golha_grid.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"model": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/runs/stt_fa_fastconformer_hybrid_large/fa_fastconformer_ab_final.nemo",
|
| 3 |
+
"lm_path": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/visualears_v2_train_spoken_4gram.arpa",
|
| 4 |
+
"results": [
|
| 5 |
+
{
|
| 6 |
+
"set": "golha",
|
| 7 |
+
"n": 69,
|
| 8 |
+
"alpha": 0.2,
|
| 9 |
+
"beta": -0.5,
|
| 10 |
+
"beam_width": 50,
|
| 11 |
+
"mean_decode_ms": 28.036729149196457,
|
| 12 |
+
"wer": 0.2595978062157221,
|
| 13 |
+
"cer": 0.1261847240289909,
|
| 14 |
+
"word_errors": 426,
|
| 15 |
+
"word_total": 1641,
|
| 16 |
+
"char_errors": 679,
|
| 17 |
+
"char_total": 5381,
|
| 18 |
+
"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0.2_b-0.5_beam50.jsonl"
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"set": "golha",
|
| 22 |
+
"n": 69,
|
| 23 |
+
"alpha": 0.2,
|
| 24 |
+
"beta": 1.5,
|
| 25 |
+
"beam_width": 50,
|
| 26 |
+
"mean_decode_ms": 36.83805465698242,
|
| 27 |
+
"wer": 0.26081657525898844,
|
| 28 |
+
"cer": 0.11484854116335254,
|
| 29 |
+
"word_errors": 428,
|
| 30 |
+
"word_total": 1641,
|
| 31 |
+
"char_errors": 618,
|
| 32 |
+
"char_total": 5381,
|
| 33 |
+
"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0.2_b1.5_beam50.jsonl"
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"set": "golha",
|
| 37 |
+
"n": 69,
|
| 38 |
+
"alpha": 0.2,
|
| 39 |
+
"beta": 0.5,
|
| 40 |
+
"beam_width": 50,
|
| 41 |
+
"mean_decode_ms": 28.315233147662617,
|
| 42 |
+
"wer": 0.26081657525898844,
|
| 43 |
+
"cer": 0.11875116149414607,
|
| 44 |
+
"word_errors": 428,
|
| 45 |
+
"word_total": 1641,
|
| 46 |
+
"char_errors": 639,
|
| 47 |
+
"char_total": 5381,
|
| 48 |
+
"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0.2_b0.5_beam50.jsonl"
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"set": "golha",
|
| 52 |
+
"n": 69,
|
| 53 |
+
"alpha": 0.2,
|
| 54 |
+
"beta": 1.0,
|
| 55 |
+
"beam_width": 50,
|
| 56 |
+
"mean_decode_ms": 29.40374871958857,
|
| 57 |
+
"wer": 0.2620353443022547,
|
| 58 |
+
"cer": 0.11652109273369263,
|
| 59 |
+
"word_errors": 430,
|
| 60 |
+
"word_total": 1641,
|
| 61 |
+
"char_errors": 627,
|
| 62 |
+
"char_total": 5381,
|
| 63 |
+
"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0.2_b1_beam50.jsonl"
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"set": "golha",
|
| 67 |
+
"n": 69,
|
| 68 |
+
"alpha": 0.2,
|
| 69 |
+
"beta": 0.0,
|
| 70 |
+
"beam_width": 50,
|
| 71 |
+
"mean_decode_ms": 35.14116743336553,
|
| 72 |
+
"wer": 0.2626447288238879,
|
| 73 |
+
"cer": 0.12209626463482624,
|
| 74 |
+
"word_errors": 431,
|
| 75 |
+
"word_total": 1641,
|
| 76 |
+
"char_errors": 657,
|
| 77 |
+
"char_total": 5381,
|
| 78 |
+
"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0.2_b0_beam50.jsonl"
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"set": "golha",
|
| 82 |
+
"n": 69,
|
| 83 |
+
"alpha": 0.0,
|
| 84 |
+
"beta": 1.0,
|
| 85 |
+
"beam_width": 50,
|
| 86 |
+
"mean_decode_ms": 28.843900431757387,
|
| 87 |
+
"wer": 0.26569165143205364,
|
| 88 |
+
"cer": 0.10871585207210556,
|
| 89 |
+
"word_errors": 436,
|
| 90 |
+
"word_total": 1641,
|
| 91 |
+
"char_errors": 585,
|
| 92 |
+
"char_total": 5381,
|
| 93 |
+
"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0_b1_beam50.jsonl"
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"set": "golha",
|
| 97 |
+
"n": 69,
|
| 98 |
+
"alpha": 0.0,
|
| 99 |
+
"beta": 0.5,
|
| 100 |
+
"beam_width": 50,
|
| 101 |
+
"mean_decode_ms": 33.559090849282086,
|
| 102 |
+
"wer": 0.2681291895185862,
|
| 103 |
+
"cer": 0.10983088645233229,
|
| 104 |
+
"word_errors": 440,
|
| 105 |
+
"word_total": 1641,
|
| 106 |
+
"char_errors": 591,
|
| 107 |
+
"char_total": 5381,
|
| 108 |
+
"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0_b0.5_beam50.jsonl"
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"set": "golha",
|
| 112 |
+
"n": 69,
|
| 113 |
+
"alpha": 0.0,
|
| 114 |
+
"beta": 0.0,
|
| 115 |
+
"beam_width": 50,
|
| 116 |
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"mean_decode_ms": 28.34744729857514,
|
| 117 |
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"wer": 0.2699573430834857,
|
| 118 |
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"cer": 0.11261847240289909,
|
| 119 |
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"word_errors": 443,
|
| 120 |
+
"word_total": 1641,
|
| 121 |
+
"char_errors": 606,
|
| 122 |
+
"char_total": 5381,
|
| 123 |
+
"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0_b0_beam50.jsonl"
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"set": "golha",
|
| 127 |
+
"n": 69,
|
| 128 |
+
"alpha": 0.0,
|
| 129 |
+
"beta": 1.5,
|
| 130 |
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"beam_width": 50,
|
| 131 |
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"mean_decode_ms": 34.74243481953939,
|
| 132 |
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"wer": 0.27178549664838514,
|
| 133 |
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"cer": 0.10778665675524995,
|
| 134 |
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"word_errors": 446,
|
| 135 |
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"word_total": 1641,
|
| 136 |
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"char_errors": 580,
|
| 137 |
+
"char_total": 5381,
|
| 138 |
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"predictions": "/workspace/visualears_full_pipeline/training/fastconformer_fa_full_ab/fastconformer_ctc_lm_golha_grid_20260610/fastconformer_ctc_lm_golha_a0_b1.5_beam50.jsonl"
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"set": "golha",
|
| 142 |
+
"n": 69,
|
| 143 |
+
"alpha": 0.35,
|
| 144 |
+
"beta": 1.0,
|
| 145 |
+
"beam_width": 50,
|
| 146 |
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"mean_decode_ms": 27.367743892946105,
|
| 147 |
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"wer": 0.27178549664838514,
|
| 148 |
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"cer": 0.1280431146627021,
|
| 149 |
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"word_errors": 446,
|
| 150 |
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"word_total": 1641,
|
| 151 |
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"char_errors": 689,
|
| 152 |
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"char_total": 5381,
|
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