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philipp-zettl
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MiniLM-amazon_massive_intent-similarity

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:1027471
loss:CoSENTLoss
Eval Results
text-embeddings-inference
Inference Endpoints
Model card Files Community
philipp-zettl commited on
Commit
ba8d6d9
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1 Parent(s): 6a2981e

Add new SentenceTransformer model.

Browse files
Files changed (3) hide show
  1. README.md +130 -607
  2. config.json +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -6,7 +6,7 @@ tags:
6
  - sentence-similarity
7
  - feature-extraction
8
  - generated_from_trainer
9
- - dataset_size:1793370
10
  - loss:CoSENTLoss
11
  base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
12
  datasets: []
@@ -22,31 +22,31 @@ metrics:
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  - pearson_max
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  - spearman_max
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  widget:
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- - source_sentence: ek wil bietjie moderne rock hoor
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  sentences:
27
- - request datetime
28
- - turn wemo on
29
- - query cooking
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- - source_sentence: skakel af die alarm vir woensdag ses v. m.
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  sentences:
32
- - set alarm
33
- - turn hue light up
34
- - request weather
35
- - source_sentence: speel my top-gegradeerde pop liedjies asseblief
36
  sentences:
37
- - greeting
38
- - request fact
39
  - request datetime
40
- - source_sentence: is dit warm buite
41
  sentences:
42
- - request weather
43
  - play music
44
- - request transport
45
- - source_sentence: maak 'n speellys van al die eminem liedjies en speel dit met skommel
46
  sentences:
47
- - search recipe
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- - recommend movie
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- - play music
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  pipeline_tag: sentence-similarity
51
  model-index:
52
  - name: SentenceTransformer based on sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
@@ -59,34 +59,71 @@ model-index:
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  type: MiniLM-dev
60
  metrics:
61
  - type: pearson_cosine
62
- value: 0.807743120621169
63
  name: Pearson Cosine
64
  - type: spearman_cosine
65
- value: 0.8111451989044506
66
  name: Spearman Cosine
67
  - type: pearson_manhattan
68
- value: 0.8090992313100879
69
  name: Pearson Manhattan
70
  - type: spearman_manhattan
71
- value: 0.8112673840020295
72
  name: Spearman Manhattan
73
  - type: pearson_euclidean
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- value: 0.8107892143621067
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  name: Pearson Euclidean
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  - type: spearman_euclidean
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- value: 0.8137277702128023
78
  name: Spearman Euclidean
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  - type: pearson_dot
80
- value: 0.7013144883870261
81
  name: Pearson Dot
82
  - type: spearman_dot
83
- value: 0.7113684320495312
84
  name: Spearman Dot
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  - type: pearson_max
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- value: 0.8107892143621067
87
  name: Pearson Max
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  - type: spearman_max
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- value: 0.8137277702128023
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
90
  name: Spearman Max
91
  ---
92
 
@@ -139,9 +176,9 @@ from sentence_transformers import SentenceTransformer
139
  model = SentenceTransformer("philipp-zettl/MiniLM-amazon_massive_intent-similarity")
140
  # Run inference
141
  sentences = [
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- "maak 'n speellys van al die eminem liedjies en speel dit met skommel",
143
- 'play music',
144
- 'recommend movie',
145
  ]
146
  embeddings = model.encode(sentences)
147
  print(embeddings.shape)
@@ -187,16 +224,33 @@ You can finetune this model on your own dataset.
187
 
188
  | Metric | Value |
189
  |:--------------------|:-----------|
190
- | pearson_cosine | 0.8077 |
191
- | **spearman_cosine** | **0.8111** |
192
- | pearson_manhattan | 0.8091 |
193
- | spearman_manhattan | 0.8113 |
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- | pearson_euclidean | 0.8108 |
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- | spearman_euclidean | 0.8137 |
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- | pearson_dot | 0.7013 |
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- | spearman_dot | 0.7114 |
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- | pearson_max | 0.8108 |
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- | spearman_max | 0.8137 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
200
 
201
  <!--
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  ## Bias, Risks and Limitations
@@ -339,572 +393,41 @@ You can finetune this model on your own dataset.
339
  </details>
340
 
341
  ### Training Logs
342
- <details><summary>Click to expand</summary>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
343
 
344
- | Epoch | Step | Training Loss | loss | MiniLM-dev_spearman_cosine |
345
- |:------:|:-----:|:-------------:|:------:|:--------------------------:|
346
- | 0.0018 | 100 | 10.7509 | - | - |
347
- | 0.0036 | 200 | 9.8726 | - | - |
348
- | 0.0054 | 300 | 8.9837 | - | - |
349
- | 0.0071 | 400 | 7.3162 | - | - |
350
- | 0.0089 | 500 | 8.2842 | - | - |
351
- | 0.0107 | 600 | 6.2254 | - | - |
352
- | 0.0125 | 700 | 6.1004 | - | - |
353
- | 0.0143 | 800 | 5.8583 | - | - |
354
- | 0.0161 | 900 | 6.3118 | - | - |
355
- | 0.0178 | 1000 | 5.7908 | 2.6141 | 0.4045 |
356
- | 0.0196 | 1100 | 5.6907 | - | - |
357
- | 0.0214 | 1200 | 5.6743 | - | - |
358
- | 0.0232 | 1300 | 5.5022 | - | - |
359
- | 0.0250 | 1400 | 5.0283 | - | - |
360
- | 0.0268 | 1500 | 5.2936 | - | - |
361
- | 0.0285 | 1600 | 5.2928 | - | - |
362
- | 0.0303 | 1700 | 5.5088 | - | - |
363
- | 0.0321 | 1800 | 5.3125 | - | - |
364
- | 0.0339 | 1900 | 5.7931 | - | - |
365
- | 0.0357 | 2000 | 5.5979 | 2.3256 | 0.5075 |
366
- | 0.0375 | 2100 | 5.3222 | - | - |
367
- | 0.0393 | 2200 | 5.268 | - | - |
368
- | 0.0410 | 2300 | 5.264 | - | - |
369
- | 0.0428 | 2400 | 4.9437 | - | - |
370
- | 0.0446 | 2500 | 4.9219 | - | - |
371
- | 0.0464 | 2600 | 4.8656 | - | - |
372
- | 0.0482 | 2700 | 5.2733 | - | - |
373
- | 0.0500 | 2800 | 5.0311 | - | - |
374
- | 0.0517 | 2900 | 5.302 | - | - |
375
- | 0.0535 | 3000 | 5.3347 | 2.1545 | 0.6496 |
376
- | 0.0553 | 3100 | 5.1241 | - | - |
377
- | 0.0571 | 3200 | 5.0232 | - | - |
378
- | 0.0589 | 3300 | 4.9932 | - | - |
379
- | 0.0607 | 3400 | 4.9651 | - | - |
380
- | 0.0625 | 3500 | 4.5226 | - | - |
381
- | 0.0642 | 3600 | 4.6666 | - | - |
382
- | 0.0660 | 3700 | 4.8979 | - | - |
383
- | 0.0678 | 3800 | 4.9139 | - | - |
384
- | 0.0696 | 3900 | 4.9241 | - | - |
385
- | 0.0714 | 4000 | 5.2878 | 2.1118 | 0.6948 |
386
- | 0.0732 | 4100 | 5.0776 | - | - |
387
- | 0.0749 | 4200 | 4.934 | - | - |
388
- | 0.0767 | 4300 | 4.9012 | - | - |
389
- | 0.0785 | 4400 | 4.8835 | - | - |
390
- | 0.0803 | 4500 | 4.5886 | - | - |
391
- | 0.0821 | 4600 | 4.7829 | - | - |
392
- | 0.0839 | 4700 | 4.8057 | - | - |
393
- | 0.0856 | 4800 | 4.8761 | - | - |
394
- | 0.0874 | 4900 | 4.6787 | - | - |
395
- | 0.0892 | 5000 | 5.313 | 2.1114 | 0.6770 |
396
- | 0.0910 | 5100 | 5.3036 | - | - |
397
- | 0.0928 | 5200 | 5.0731 | - | - |
398
- | 0.0946 | 5300 | 5.0052 | - | - |
399
- | 0.0964 | 5400 | 4.9494 | - | - |
400
- | 0.0981 | 5500 | 4.836 | - | - |
401
- | 0.0999 | 5600 | 4.6319 | - | - |
402
- | 0.1017 | 5700 | 4.667 | - | - |
403
- | 0.1035 | 5800 | 4.9578 | - | - |
404
- | 0.1053 | 5900 | 4.9473 | - | - |
405
- | 0.1071 | 6000 | 4.9897 | 3.0813 | 0.4424 |
406
- | 0.1088 | 6100 | 5.1704 | - | - |
407
- | 0.1106 | 6200 | 4.8472 | - | - |
408
- | 0.1124 | 6300 | 4.8296 | - | - |
409
- | 0.1142 | 6400 | 4.8287 | - | - |
410
- | 0.1160 | 6500 | 4.6539 | - | - |
411
- | 0.1178 | 6600 | 4.2599 | - | - |
412
- | 0.1196 | 6700 | 4.5506 | - | - |
413
- | 0.1213 | 6800 | 4.6585 | - | - |
414
- | 0.1231 | 6900 | 4.7248 | - | - |
415
- | 0.1249 | 7000 | 4.6389 | 3.1390 | 0.5199 |
416
- | 0.1267 | 7100 | 4.8133 | - | - |
417
- | 0.1285 | 7200 | 4.8838 | - | - |
418
- | 0.1303 | 7300 | 4.7375 | - | - |
419
- | 0.1320 | 7400 | 4.6357 | - | - |
420
- | 0.1338 | 7500 | 4.7807 | - | - |
421
- | 0.1356 | 7600 | 4.409 | - | - |
422
- | 0.1374 | 7700 | 4.5612 | - | - |
423
- | 0.1392 | 7800 | 4.3731 | - | - |
424
- | 0.1410 | 7900 | 4.622 | - | - |
425
- | 0.1427 | 8000 | 4.5574 | 2.6558 | 0.5814 |
426
- | 0.1445 | 8100 | 4.6542 | - | - |
427
- | 0.1463 | 8200 | 4.7831 | - | - |
428
- | 0.1481 | 8300 | 4.6775 | - | - |
429
- | 0.1499 | 8400 | 4.61 | - | - |
430
- | 0.1517 | 8500 | 4.6416 | - | - |
431
- | 0.1535 | 8600 | 4.3096 | - | - |
432
- | 0.1552 | 8700 | 4.2629 | - | - |
433
- | 0.1570 | 8800 | 4.5151 | - | - |
434
- | 0.1588 | 8900 | 4.5301 | - | - |
435
- | 0.1606 | 9000 | 4.5731 | 2.8939 | 0.5675 |
436
- | 0.1624 | 9100 | 4.4347 | - | - |
437
- | 0.1642 | 9200 | 4.648 | - | - |
438
- | 0.1659 | 9300 | 4.6076 | - | - |
439
- | 0.1677 | 9400 | 4.4229 | - | - |
440
- | 0.1695 | 9500 | 4.4785 | - | - |
441
- | 0.1713 | 9600 | 4.4252 | - | - |
442
- | 0.1731 | 9700 | 4.0223 | - | - |
443
- | 0.1749 | 9800 | 4.1593 | - | - |
444
- | 0.1767 | 9900 | 4.2946 | - | - |
445
- | 0.1784 | 10000 | 4.4888 | 2.7814 | 0.5852 |
446
- | 0.1802 | 10100 | 4.3605 | - | - |
447
- | 0.1820 | 10200 | 4.5952 | - | - |
448
- | 0.1838 | 10300 | 4.709 | - | - |
449
- | 0.1856 | 10400 | 4.5743 | - | - |
450
- | 0.1874 | 10500 | 4.5539 | - | - |
451
- | 0.1891 | 10600 | 4.4427 | - | - |
452
- | 0.1909 | 10700 | 4.1095 | - | - |
453
- | 0.1927 | 10800 | 4.4079 | - | - |
454
- | 0.1945 | 10900 | 4.1667 | - | - |
455
- | 0.1963 | 11000 | 4.2273 | 3.3803 | 0.5663 |
456
- | 0.1981 | 11100 | 4.3333 | - | - |
457
- | 0.1998 | 11200 | 4.5174 | - | - |
458
- | 0.2016 | 11300 | 4.4961 | - | - |
459
- | 0.2034 | 11400 | 4.5746 | - | - |
460
- | 0.2052 | 11500 | 4.731 | - | - |
461
- | 0.2070 | 11600 | 4.4485 | - | - |
462
- | 0.2088 | 11700 | 4.4099 | - | - |
463
- | 0.2106 | 11800 | 3.8921 | - | - |
464
- | 0.2123 | 11900 | 4.2423 | - | - |
465
- | 0.2141 | 12000 | 4.2641 | 3.0230 | 0.6300 |
466
- | 0.2159 | 12100 | 4.2052 | - | - |
467
- | 0.2177 | 12200 | 4.2757 | - | - |
468
- | 0.2195 | 12300 | 4.8586 | - | - |
469
- | 0.2213 | 12400 | 4.5872 | - | - |
470
- | 0.2230 | 12500 | 4.4273 | - | - |
471
- | 0.2248 | 12600 | 4.5728 | - | - |
472
- | 0.2266 | 12700 | 4.4607 | - | - |
473
- | 0.2284 | 12800 | 4.1361 | - | - |
474
- | 0.2302 | 12900 | 4.4781 | - | - |
475
- | 0.2320 | 13000 | 4.145 | 2.7088 | 0.6617 |
476
- | 0.2337 | 13100 | 4.3366 | - | - |
477
- | 0.2355 | 13200 | 4.2699 | - | - |
478
- | 0.2373 | 13300 | 4.3397 | - | - |
479
- | 0.2391 | 13400 | 4.6033 | - | - |
480
- | 0.2409 | 13500 | 4.2292 | - | - |
481
- | 0.2427 | 13600 | 4.3399 | - | - |
482
- | 0.2445 | 13700 | 4.5222 | - | - |
483
- | 0.2462 | 13800 | 4.2185 | - | - |
484
- | 0.2480 | 13900 | 3.9426 | - | - |
485
- | 0.2498 | 14000 | 4.2146 | 2.6014 | 0.6724 |
486
- | 0.2516 | 14100 | 4.2534 | - | - |
487
- | 0.2534 | 14200 | 4.1765 | - | - |
488
- | 0.2552 | 14300 | 4.117 | - | - |
489
- | 0.2569 | 14400 | 5.0908 | - | - |
490
- | 0.2587 | 14500 | 4.488 | - | - |
491
- | 0.2605 | 14600 | 4.4429 | - | - |
492
- | 0.2623 | 14700 | 4.3688 | - | - |
493
- | 0.2641 | 14800 | 4.4857 | - | - |
494
- | 0.2659 | 14900 | 4.1763 | - | - |
495
- | 0.2677 | 15000 | 4.4425 | 2.6388 | 0.6842 |
496
- | 0.2694 | 15100 | 4.4277 | - | - |
497
- | 0.2712 | 15200 | 4.3841 | - | - |
498
- | 0.2730 | 15300 | 4.4 | - | - |
499
- | 0.2748 | 15400 | 4.55 | - | - |
500
- | 0.2766 | 15500 | 4.4769 | - | - |
501
- | 0.2784 | 15600 | 4.3918 | - | - |
502
- | 0.2801 | 15700 | 4.554 | - | - |
503
- | 0.2819 | 15800 | 4.406 | - | - |
504
- | 0.2837 | 15900 | 4.0593 | - | - |
505
- | 0.2855 | 16000 | 4.3586 | 2.5251 | 0.7238 |
506
- | 0.2873 | 16100 | 4.2308 | - | - |
507
- | 0.2891 | 16200 | 4.469 | - | - |
508
- | 0.2908 | 16300 | 4.2312 | - | - |
509
- | 0.2926 | 16400 | 4.2695 | - | - |
510
- | 0.2944 | 16500 | 4.5821 | - | - |
511
- | 0.2962 | 16600 | 4.5623 | - | - |
512
- | 0.2980 | 16700 | 4.1865 | - | - |
513
- | 0.2998 | 16800 | 4.4228 | - | - |
514
- | 0.3016 | 16900 | 4.0553 | - | - |
515
- | 0.3033 | 17000 | 3.7183 | 2.6050 | 0.7319 |
516
- | 0.3051 | 17100 | 4.1849 | - | - |
517
- | 0.3069 | 17200 | 4.2975 | - | - |
518
- | 0.3087 | 17300 | 4.4272 | - | - |
519
- | 0.3105 | 17400 | 4.0634 | - | - |
520
- | 0.3123 | 17500 | 4.8608 | - | - |
521
- | 0.3140 | 17600 | 4.4146 | - | - |
522
- | 0.3158 | 17700 | 4.2655 | - | - |
523
- | 0.3176 | 17800 | 4.3814 | - | - |
524
- | 0.3194 | 17900 | 4.3972 | - | - |
525
- | 0.3212 | 18000 | 3.8868 | 2.4737 | 0.7500 |
526
- | 0.3230 | 18100 | 4.434 | - | - |
527
- | 0.3248 | 18200 | 4.2213 | - | - |
528
- | 0.3265 | 18300 | 4.4632 | - | - |
529
- | 0.3283 | 18400 | 4.4001 | - | - |
530
- | 0.3301 | 18500 | 4.8262 | - | - |
531
- | 0.3319 | 18600 | 4.5022 | - | - |
532
- | 0.3337 | 18700 | 4.4148 | - | - |
533
- | 0.3355 | 18800 | 4.2182 | - | - |
534
- | 0.3372 | 18900 | 4.2127 | - | - |
535
- | 0.3390 | 19000 | 4.051 | 2.4633 | 0.7575 |
536
- | 0.3408 | 19100 | 3.655 | - | - |
537
- | 0.3426 | 19200 | 4.2441 | - | - |
538
- | 0.3444 | 19300 | 4.3494 | - | - |
539
- | 0.3462 | 19400 | 4.1824 | - | - |
540
- | 0.3479 | 19500 | 4.3528 | - | - |
541
- | 0.3497 | 19600 | 5.6073 | - | - |
542
- | 0.3515 | 19700 | 4.8231 | - | - |
543
- | 0.3533 | 19800 | 4.5816 | - | - |
544
- | 0.3551 | 19900 | 4.5812 | - | - |
545
- | 0.3569 | 20000 | 4.637 | 2.1229 | 0.7945 |
546
- | 0.3587 | 20100 | 4.2619 | - | - |
547
- | 0.3604 | 20200 | 4.5645 | - | - |
548
- | 0.3622 | 20300 | 4.7248 | - | - |
549
- | 0.3640 | 20400 | 4.5665 | - | - |
550
- | 0.3658 | 20500 | 4.5628 | - | - |
551
- | 0.3676 | 20600 | 4.8494 | - | - |
552
- | 0.3694 | 20700 | 4.4338 | - | - |
553
- | 0.3711 | 20800 | 4.3256 | - | - |
554
- | 0.3729 | 20900 | 4.4388 | - | - |
555
- | 0.3747 | 21000 | 4.158 | 2.3475 | 0.7732 |
556
- | 0.3765 | 21100 | 3.962 | - | - |
557
- | 0.3783 | 21200 | 3.931 | - | - |
558
- | 0.3801 | 21300 | 4.0345 | - | - |
559
- | 0.3818 | 21400 | 4.319 | - | - |
560
- | 0.3836 | 21500 | 4.1329 | - | - |
561
- | 0.3854 | 21600 | 4.245 | - | - |
562
- | 0.3872 | 21700 | 4.518 | - | - |
563
- | 0.3890 | 21800 | 4.4653 | - | - |
564
- | 0.3908 | 21900 | 4.2777 | - | - |
565
- | 0.3926 | 22000 | 4.3358 | 2.1933 | 0.7845 |
566
- | 0.3943 | 22100 | 4.2291 | - | - |
567
- | 0.3961 | 22200 | 3.8067 | - | - |
568
- | 0.3979 | 22300 | 4.2039 | - | - |
569
- | 0.3997 | 22400 | 4.0104 | - | - |
570
- | 0.4015 | 22500 | 4.2346 | - | - |
571
- | 0.4033 | 22600 | 4.0056 | - | - |
572
- | 0.4050 | 22700 | 5.6038 | - | - |
573
- | 0.4068 | 22800 | 5.1185 | - | - |
574
- | 0.4086 | 22900 | 4.924 | - | - |
575
- | 0.4104 | 23000 | 4.7841 | 1.9839 | 0.7956 |
576
- | 0.4122 | 23100 | 4.7953 | - | - |
577
- | 0.4140 | 23200 | 4.4229 | - | - |
578
- | 0.4158 | 23300 | 4.6432 | - | - |
579
- | 0.4175 | 23400 | 4.5284 | - | - |
580
- | 0.4193 | 23500 | 4.7215 | - | - |
581
- | 0.4211 | 23600 | 4.7432 | - | - |
582
- | 0.4229 | 23700 | 5.0136 | - | - |
583
- | 0.4247 | 23800 | 4.7958 | - | - |
584
- | 0.4265 | 23900 | 4.6827 | - | - |
585
- | 0.4282 | 24000 | 4.6665 | 1.9663 | 0.7870 |
586
- | 0.4300 | 24100 | 4.5074 | - | - |
587
- | 0.4318 | 24200 | 4.4189 | - | - |
588
- | 0.4336 | 24300 | 4.4586 | - | - |
589
- | 0.4354 | 24400 | 4.6421 | - | - |
590
- | 0.4372 | 24500 | 4.4281 | - | - |
591
- | 0.4389 | 24600 | 4.5153 | - | - |
592
- | 0.4407 | 24700 | 4.9942 | - | - |
593
- | 0.4425 | 24800 | 5.11 | - | - |
594
- | 0.4443 | 24900 | 4.7071 | - | - |
595
- | 0.4461 | 25000 | 4.6257 | 1.9461 | 0.7935 |
596
- | 0.4479 | 25100 | 4.6576 | - | - |
597
- | 0.4497 | 25200 | 4.6103 | - | - |
598
- | 0.4514 | 25300 | 4.2066 | - | - |
599
- | 0.4532 | 25400 | 4.6869 | - | - |
600
- | 0.4550 | 25500 | 4.7575 | - | - |
601
- | 0.4568 | 25600 | 4.6081 | - | - |
602
- | 0.4586 | 25700 | 4.8144 | - | - |
603
- | 0.4604 | 25800 | 5.2007 | - | - |
604
- | 0.4621 | 25900 | 4.8367 | - | - |
605
- | 0.4639 | 26000 | 4.5258 | 1.9131 | 0.7993 |
606
- | 0.4657 | 26100 | 4.4784 | - | - |
607
- | 0.4675 | 26200 | 4.5568 | - | - |
608
- | 0.4693 | 26300 | 4.2591 | - | - |
609
- | 0.4711 | 26400 | 4.4521 | - | - |
610
- | 0.4729 | 26500 | 4.4041 | - | - |
611
- | 0.4746 | 26600 | 4.4926 | - | - |
612
- | 0.4764 | 26700 | 4.1686 | - | - |
613
- | 0.4782 | 26800 | 4.6294 | - | - |
614
- | 0.4800 | 26900 | 4.6889 | - | - |
615
- | 0.4818 | 27000 | 4.5765 | 1.9539 | 0.7961 |
616
- | 0.4836 | 27100 | 4.3427 | - | - |
617
- | 0.4853 | 27200 | 4.5275 | - | - |
618
- | 0.4871 | 27300 | 4.4186 | - | - |
619
- | 0.4889 | 27400 | 4.0163 | - | - |
620
- | 0.4907 | 27500 | 4.3204 | - | - |
621
- | 0.4925 | 27600 | 4.179 | - | - |
622
- | 0.4943 | 27700 | 4.3838 | - | - |
623
- | 0.4960 | 27800 | 4.2631 | - | - |
624
- | 0.4978 | 27900 | 4.7177 | - | - |
625
- | 0.4996 | 28000 | 4.5161 | 2.0116 | 0.7935 |
626
- | 0.5014 | 28100 | 4.2861 | - | - |
627
- | 0.5032 | 28200 | 4.4123 | - | - |
628
- | 0.5050 | 28300 | 4.293 | - | - |
629
- | 0.5068 | 28400 | 4.2346 | - | - |
630
- | 0.5085 | 28500 | 4.3355 | - | - |
631
- | 0.5103 | 28600 | 4.4616 | - | - |
632
- | 0.5121 | 28700 | 4.2409 | - | - |
633
- | 0.5139 | 28800 | 4.2398 | - | - |
634
- | 0.5157 | 28900 | 4.7412 | - | - |
635
- | 0.5175 | 29000 | 4.5044 | 2.1008 | 0.7859 |
636
- | 0.5192 | 29100 | 4.4556 | - | - |
637
- | 0.5210 | 29200 | 4.2938 | - | - |
638
- | 0.5228 | 29300 | 4.4962 | - | - |
639
- | 0.5246 | 29400 | 4.477 | - | - |
640
- | 0.5264 | 29500 | 4.2602 | - | - |
641
- | 0.5282 | 29600 | 4.4231 | - | - |
642
- | 0.5300 | 29700 | 4.2165 | - | - |
643
- | 0.5317 | 29800 | 4.3729 | - | - |
644
- | 0.5335 | 29900 | 4.2414 | - | - |
645
- | 0.5353 | 30000 | 4.9937 | 2.0884 | 0.7702 |
646
- | 0.5371 | 30100 | 4.5737 | - | - |
647
- | 0.5389 | 30200 | 4.4517 | - | - |
648
- | 0.5407 | 30300 | 4.4178 | - | - |
649
- | 0.5424 | 30400 | 4.3514 | - | - |
650
- | 0.5442 | 30500 | 3.9723 | - | - |
651
- | 0.5460 | 30600 | 4.3707 | - | - |
652
- | 0.5478 | 30700 | 4.2235 | - | - |
653
- | 0.5496 | 30800 | 4.4278 | - | - |
654
- | 0.5514 | 30900 | 4.2914 | - | - |
655
- | 0.5531 | 31000 | 4.5636 | 2.3277 | 0.7454 |
656
- | 0.5549 | 31100 | 4.4889 | - | - |
657
- | 0.5567 | 31200 | 4.3211 | - | - |
658
- | 0.5585 | 31300 | 4.404 | - | - |
659
- | 0.5603 | 31400 | 4.2117 | - | - |
660
- | 0.5621 | 31500 | 4.1126 | - | - |
661
- | 0.5639 | 31600 | 4.1737 | - | - |
662
- | 0.5656 | 31700 | 4.203 | - | - |
663
- | 0.5674 | 31800 | 4.1093 | - | - |
664
- | 0.5692 | 31900 | 4.0702 | - | - |
665
- | 0.5710 | 32000 | 4.4189 | 2.6265 | 0.7375 |
666
- | 0.5728 | 32100 | 4.9817 | - | - |
667
- | 0.5746 | 32200 | 4.4736 | - | - |
668
- | 0.5763 | 32300 | 4.348 | - | - |
669
- | 0.5781 | 32400 | 4.5404 | - | - |
670
- | 0.5799 | 32500 | 4.2987 | - | - |
671
- | 0.5817 | 32600 | 4.0725 | - | - |
672
- | 0.5835 | 32700 | 4.5469 | - | - |
673
- | 0.5853 | 32800 | 4.4367 | - | - |
674
- | 0.5870 | 32900 | 4.3369 | - | - |
675
- | 0.5888 | 33000 | 4.2292 | 2.5687 | 0.7213 |
676
- | 0.5906 | 33100 | 4.7929 | - | - |
677
- | 0.5924 | 33200 | 4.4123 | - | - |
678
- | 0.5942 | 33300 | 4.1699 | - | - |
679
- | 0.5960 | 33400 | 4.4021 | - | - |
680
- | 0.5978 | 33500 | 4.5257 | - | - |
681
- | 0.5995 | 33600 | 3.7222 | - | - |
682
- | 0.6013 | 33700 | 4.0746 | - | - |
683
- | 0.6031 | 33800 | 4.1399 | - | - |
684
- | 0.6049 | 33900 | 3.9957 | - | - |
685
- | 0.6067 | 34000 | 4.093 | 2.4645 | 0.7524 |
686
- | 0.6085 | 34100 | 4.2929 | - | - |
687
- | 0.6102 | 34200 | 4.4765 | - | - |
688
- | 0.6120 | 34300 | 4.3871 | - | - |
689
- | 0.6138 | 34400 | 4.385 | - | - |
690
- | 0.6156 | 34500 | 4.1455 | - | - |
691
- | 0.6174 | 34600 | 3.7689 | - | - |
692
- | 0.6192 | 34700 | 3.6574 | - | - |
693
- | 0.6210 | 34800 | 4.2426 | - | - |
694
- | 0.6227 | 34900 | 4.293 | - | - |
695
- | 0.6245 | 35000 | 4.1368 | 2.4370 | 0.7765 |
696
- | 0.6263 | 35100 | 3.6174 | - | - |
697
- | 0.6281 | 35200 | 4.7763 | - | - |
698
- | 0.6299 | 35300 | 4.3121 | - | - |
699
- | 0.6317 | 35400 | 4.1886 | - | - |
700
- | 0.6334 | 35500 | 4.3538 | - | - |
701
- | 0.6352 | 35600 | 4.0285 | - | - |
702
- | 0.6370 | 35700 | 3.4691 | - | - |
703
- | 0.6388 | 35800 | 4.2732 | - | - |
704
- | 0.6406 | 35900 | 4.2052 | - | - |
705
- | 0.6424 | 36000 | 4.0452 | 2.4680 | 0.7732 |
706
- | 0.6441 | 36100 | 3.9032 | - | - |
707
- | 0.6459 | 36200 | 4.2608 | - | - |
708
- | 0.6477 | 36300 | 4.262 | - | - |
709
- | 0.6495 | 36400 | 4.1138 | - | - |
710
- | 0.6513 | 36500 | 4.248 | - | - |
711
- | 0.6531 | 36600 | 4.1163 | - | - |
712
- | 0.6549 | 36700 | 3.6375 | - | - |
713
- | 0.6566 | 36800 | 4.0768 | - | - |
714
- | 0.6584 | 36900 | 4.0268 | - | - |
715
- | 0.6602 | 37000 | 4.0129 | 2.6361 | 0.7702 |
716
- | 0.6620 | 37100 | 3.7976 | - | - |
717
- | 0.6638 | 37200 | 4.2518 | - | - |
718
- | 0.6656 | 37300 | 4.5011 | - | - |
719
- | 0.6673 | 37400 | 4.4488 | - | - |
720
- | 0.6691 | 37500 | 3.9798 | - | - |
721
- | 0.6709 | 37600 | 4.027 | - | - |
722
- | 0.6727 | 37700 | 4.0342 | - | - |
723
- | 0.6745 | 37800 | 3.8229 | - | - |
724
- | 0.6763 | 37900 | 4.0573 | - | - |
725
- | 0.6781 | 38000 | 4.1739 | 2.4511 | 0.7935 |
726
- | 0.6798 | 38100 | 4.57 | - | - |
727
- | 0.6816 | 38200 | 3.9108 | - | - |
728
- | 0.6834 | 38300 | 4.3569 | - | - |
729
- | 0.6852 | 38400 | 4.3775 | - | - |
730
- | 0.6870 | 38500 | 4.2887 | - | - |
731
- | 0.6888 | 38600 | 4.144 | - | - |
732
- | 0.6905 | 38700 | 4.5112 | - | - |
733
- | 0.6923 | 38800 | 3.5093 | - | - |
734
- | 0.6941 | 38900 | 3.9626 | - | - |
735
- | 0.6959 | 39000 | 4.024 | 2.4241 | 0.7868 |
736
- | 0.6977 | 39100 | 4.0671 | - | - |
737
- | 0.6995 | 39200 | 3.9545 | - | - |
738
- | 0.7012 | 39300 | 4.0036 | - | - |
739
- | 0.7030 | 39400 | 4.3796 | - | - |
740
- | 0.7048 | 39500 | 4.2912 | - | - |
741
- | 0.7066 | 39600 | 4.1181 | - | - |
742
- | 0.7084 | 39700 | 4.1437 | - | - |
743
- | 0.7102 | 39800 | 3.8734 | - | - |
744
- | 0.7120 | 39900 | 3.7678 | - | - |
745
- | 0.7137 | 40000 | 4.2327 | 2.3937 | 0.7956 |
746
- | 0.7155 | 40100 | 3.8276 | - | - |
747
- | 0.7173 | 40200 | 4.2885 | - | - |
748
- | 0.7191 | 40300 | 4.019 | - | - |
749
- | 0.7209 | 40400 | 4.6898 | - | - |
750
- | 0.7227 | 40500 | 4.2398 | - | - |
751
- | 0.7244 | 40600 | 4.317 | - | - |
752
- | 0.7262 | 40700 | 4.2543 | - | - |
753
- | 0.7280 | 40800 | 4.1048 | - | - |
754
- | 0.7298 | 40900 | 3.4243 | - | - |
755
- | 0.7316 | 41000 | 4.0587 | 2.2848 | 0.8035 |
756
- | 0.7334 | 41100 | 4.2112 | - | - |
757
- | 0.7351 | 41200 | 4.0331 | - | - |
758
- | 0.7369 | 41300 | 4.2361 | - | - |
759
- | 0.7387 | 41400 | 4.3818 | - | - |
760
- | 0.7405 | 41500 | 4.1311 | - | - |
761
- | 0.7423 | 41600 | 4.0607 | - | - |
762
- | 0.7441 | 41700 | 4.1277 | - | - |
763
- | 0.7459 | 41800 | 3.8844 | - | - |
764
- | 0.7476 | 41900 | 3.6138 | - | - |
765
- | 0.7494 | 42000 | 3.7973 | 2.4197 | 0.8045 |
766
- | 0.7512 | 42100 | 4.0854 | - | - |
767
- | 0.7530 | 42200 | 4.0926 | - | - |
768
- | 0.7548 | 42300 | 3.9821 | - | - |
769
- | 0.7566 | 42400 | 4.5564 | - | - |
770
- | 0.7583 | 42500 | 6.1707 | - | - |
771
- | 0.7601 | 42600 | 5.4598 | - | - |
772
- | 0.7619 | 42700 | 5.2202 | - | - |
773
- | 0.7637 | 42800 | 5.1402 | - | - |
774
- | 0.7655 | 42900 | 4.8446 | - | - |
775
- | 0.7673 | 43000 | 4.5341 | 1.9710 | 0.8181 |
776
- | 0.7691 | 43100 | 5.0068 | - | - |
777
- | 0.7708 | 43200 | 5.0099 | - | - |
778
- | 0.7726 | 43300 | 4.7986 | - | - |
779
- | 0.7744 | 43400 | 5.0468 | - | - |
780
- | 0.7762 | 43500 | 5.135 | - | - |
781
- | 0.7780 | 43600 | 4.8018 | - | - |
782
- | 0.7798 | 43700 | 4.6291 | - | - |
783
- | 0.7815 | 43800 | 4.6119 | - | - |
784
- | 0.7833 | 43900 | 4.5318 | - | - |
785
- | 0.7851 | 44000 | 3.9703 | 1.9790 | 0.8211 |
786
- | 0.7869 | 44100 | 4.461 | - | - |
787
- | 0.7887 | 44200 | 4.5536 | - | - |
788
- | 0.7905 | 44300 | 4.411 | - | - |
789
- | 0.7922 | 44400 | 4.5796 | - | - |
790
- | 0.7940 | 44500 | 4.7385 | - | - |
791
- | 0.7958 | 44600 | 4.6635 | - | - |
792
- | 0.7976 | 44700 | 4.4808 | - | - |
793
- | 0.7994 | 44800 | 4.5565 | - | - |
794
- | 0.8012 | 44900 | 4.4707 | - | - |
795
- | 0.8030 | 45000 | 3.9981 | 1.9823 | 0.8197 |
796
- | 0.8047 | 45100 | 4.119 | - | - |
797
- | 0.8065 | 45200 | 4.4209 | - | - |
798
- | 0.8083 | 45300 | 4.3268 | - | - |
799
- | 0.8101 | 45400 | 4.2979 | - | - |
800
- | 0.8119 | 45500 | 4.413 | - | - |
801
- | 0.8137 | 45600 | 4.3317 | - | - |
802
- | 0.8154 | 45700 | 4.3683 | - | - |
803
- | 0.8172 | 45800 | 4.0769 | - | - |
804
- | 0.8190 | 45900 | 4.304 | - | - |
805
- | 0.8208 | 46000 | 4.0985 | 2.0490 | 0.8183 |
806
- | 0.8226 | 46100 | 3.8719 | - | - |
807
- | 0.8244 | 46200 | 4.1843 | - | - |
808
- | 0.8262 | 46300 | 4.2131 | - | - |
809
- | 0.8279 | 46400 | 4.3327 | - | - |
810
- | 0.8297 | 46500 | 3.8533 | - | - |
811
- | 0.8315 | 46600 | 5.2854 | - | - |
812
- | 0.8333 | 46700 | 5.2465 | - | - |
813
- | 0.8351 | 46800 | 5.0221 | - | - |
814
- | 0.8369 | 46900 | 4.9466 | - | - |
815
- | 0.8386 | 47000 | 5.0361 | 1.8252 | 0.8360 |
816
- | 0.8404 | 47100 | 4.3676 | - | - |
817
- | 0.8422 | 47200 | 4.619 | - | - |
818
- | 0.8440 | 47300 | 4.6412 | - | - |
819
- | 0.8458 | 47400 | 4.7874 | - | - |
820
- | 0.8476 | 47500 | 4.663 | - | - |
821
- | 0.8493 | 47600 | 4.7068 | - | - |
822
- | 0.8511 | 47700 | 4.5889 | - | - |
823
- | 0.8529 | 47800 | 4.3468 | - | - |
824
- | 0.8547 | 47900 | 4.4393 | - | - |
825
- | 0.8565 | 48000 | 4.5488 | 1.9117 | 0.8176 |
826
- | 0.8583 | 48100 | 4.0933 | - | - |
827
- | 0.8601 | 48200 | 3.7754 | - | - |
828
- | 0.8618 | 48300 | 4.1346 | - | - |
829
- | 0.8636 | 48400 | 4.402 | - | - |
830
- | 0.8654 | 48500 | 4.0163 | - | - |
831
- | 0.8672 | 48600 | 4.3405 | - | - |
832
- | 0.8690 | 48700 | 4.7694 | - | - |
833
- | 0.8708 | 48800 | 4.4457 | - | - |
834
- | 0.8725 | 48900 | 4.3679 | - | - |
835
- | 0.8743 | 49000 | 4.3283 | 1.9392 | 0.8251 |
836
- | 0.8761 | 49100 | 4.6855 | - | - |
837
- | 0.8779 | 49200 | 3.881 | - | - |
838
- | 0.8797 | 49300 | 4.1392 | - | - |
839
- | 0.8815 | 49400 | 4.4343 | - | - |
840
- | 0.8833 | 49500 | 4.4822 | - | - |
841
- | 0.8850 | 49600 | 4.3977 | - | - |
842
- | 0.8868 | 49700 | 4.5944 | - | - |
843
- | 0.8886 | 49800 | 4.4176 | - | - |
844
- | 0.8904 | 49900 | 4.5269 | - | - |
845
- | 0.8922 | 50000 | 4.4267 | 1.8965 | 0.8206 |
846
- | 0.8940 | 50100 | 4.5109 | - | - |
847
- | 0.8957 | 50200 | 4.1775 | - | - |
848
- | 0.8975 | 50300 | 4.3453 | - | - |
849
- | 0.8993 | 50400 | 4.5443 | - | - |
850
- | 0.9011 | 50500 | 4.226 | - | - |
851
- | 0.9029 | 50600 | 4.3296 | - | - |
852
- | 0.9047 | 50700 | 4.1968 | - | - |
853
- | 0.9064 | 50800 | 4.2206 | - | - |
854
- | 0.9082 | 50900 | 4.2299 | - | - |
855
- | 0.9100 | 51000 | 4.0471 | 2.0479 | 0.8146 |
856
- | 0.9118 | 51100 | 4.0832 | - | - |
857
- | 0.9136 | 51200 | 3.7516 | - | - |
858
- | 0.9154 | 51300 | 4.0545 | - | - |
859
- | 0.9172 | 51400 | 4.1281 | - | - |
860
- | 0.9189 | 51500 | 4.2336 | - | - |
861
- | 0.9207 | 51600 | 4.2511 | - | - |
862
- | 0.9225 | 51700 | 4.2588 | - | - |
863
- | 0.9243 | 51800 | 4.0719 | - | - |
864
- | 0.9261 | 51900 | 4.1847 | - | - |
865
- | 0.9279 | 52000 | 4.1445 | 2.1419 | 0.8128 |
866
- | 0.9296 | 52100 | 3.9735 | - | - |
867
- | 0.9314 | 52200 | 3.8635 | - | - |
868
- | 0.9332 | 52300 | 4.1738 | - | - |
869
- | 0.9350 | 52400 | 4.07 | - | - |
870
- | 0.9368 | 52500 | 4.1008 | - | - |
871
- | 0.9386 | 52600 | 3.9628 | - | - |
872
- | 0.9403 | 52700 | 4.2895 | - | - |
873
- | 0.9421 | 52800 | 4.3393 | - | - |
874
- | 0.9439 | 52900 | 2.8535 | - | - |
875
- | 0.9457 | 53000 | 2.5506 | 2.1743 | 0.8116 |
876
- | 0.9475 | 53100 | 2.1566 | - | - |
877
- | 0.9493 | 53200 | 2.0386 | - | - |
878
- | 0.9511 | 53300 | 1.8535 | - | - |
879
- | 0.9528 | 53400 | 1.8561 | - | - |
880
- | 0.9546 | 53500 | 1.3213 | - | - |
881
- | 0.9564 | 53600 | 1.0904 | - | - |
882
- | 0.9582 | 53700 | 1.2266 | - | - |
883
- | 0.9600 | 53800 | 0.9386 | - | - |
884
- | 0.9618 | 53900 | 0.8379 | - | - |
885
- | 0.9635 | 54000 | 0.9314 | 2.3331 | 0.8071 |
886
- | 0.9653 | 54100 | 1.1145 | - | - |
887
- | 0.9671 | 54200 | 1.4435 | - | - |
888
- | 0.9689 | 54300 | 1.3226 | - | - |
889
- | 0.9707 | 54400 | 0.6677 | - | - |
890
- | 0.9725 | 54500 | 0.7357 | - | - |
891
- | 0.9743 | 54600 | 0.6854 | - | - |
892
- | 0.9760 | 54700 | 0.8408 | - | - |
893
- | 0.9778 | 54800 | 0.6291 | - | - |
894
- | 0.9796 | 54900 | 0.8203 | - | - |
895
- | 0.9814 | 55000 | 1.6263 | 2.4720 | 0.8104 |
896
- | 0.9832 | 55100 | 0.95 | - | - |
897
- | 0.9850 | 55200 | 0.6462 | - | - |
898
- | 0.9867 | 55300 | 1.2467 | - | - |
899
- | 0.9885 | 55400 | 1.4926 | - | - |
900
- | 0.9903 | 55500 | 1.9608 | - | - |
901
- | 0.9921 | 55600 | 1.6415 | - | - |
902
- | 0.9939 | 55700 | 1.3258 | - | - |
903
- | 0.9957 | 55800 | 1.2157 | - | - |
904
- | 0.9974 | 55900 | 1.2391 | - | - |
905
- | 0.9992 | 56000 | 1.3474 | 2.5008 | 0.8111 |
906
-
907
- </details>
908
 
909
  ### Framework Versions
910
  - Python: 3.10.14
 
6
  - sentence-similarity
7
  - feature-extraction
8
  - generated_from_trainer
9
+ - dataset_size:100000
10
  - loss:CoSENTLoss
11
  base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
12
  datasets: []
 
22
  - pearson_max
23
  - spearman_max
24
  widget:
25
+ - source_sentence: watter dag is gedenkteken dag die jaar
26
  sentences:
27
+ - request news
28
+ - turn volume down
29
+ - request news
30
+ - source_sentence: wat is die week se weertoestand
31
  sentences:
32
+ - play radio
33
+ - make coffee
34
+ - traffic query
35
+ - source_sentence: skakel aan die roomba
36
  sentences:
37
+ - tell joke
38
+ - start cleaning
39
  - request datetime
40
+ - source_sentence: kan jy my 'n goeie grap vertel
41
  sentences:
42
+ - set alarm
43
  - play music
44
+ - tell joke
45
+ - source_sentence: vertel my die huidige tyd in ottawa
46
  sentences:
47
+ - set alarm
48
+ - request definition
49
+ - query cooking
50
  pipeline_tag: sentence-similarity
51
  model-index:
52
  - name: SentenceTransformer based on sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
 
59
  type: MiniLM-dev
60
  metrics:
61
  - type: pearson_cosine
62
+ value: 0.8038546201162028
63
  name: Pearson Cosine
64
  - type: spearman_cosine
65
+ value: 0.7952482154521802
66
  name: Spearman Cosine
67
  - type: pearson_manhattan
68
+ value: 0.7802560869413135
69
  name: Pearson Manhattan
70
  - type: spearman_manhattan
71
+ value: 0.7844203514438413
72
  name: Spearman Manhattan
73
  - type: pearson_euclidean
74
+ value: 0.7833308118947437
75
  name: Pearson Euclidean
76
  - type: spearman_euclidean
77
+ value: 0.7868069159395278
78
  name: Spearman Euclidean
79
  - type: pearson_dot
80
+ value: 0.7390061538330888
81
  name: Pearson Dot
82
  - type: spearman_dot
83
+ value: 0.7653163577056459
84
  name: Spearman Dot
85
  - type: pearson_max
86
+ value: 0.8038546201162028
87
  name: Pearson Max
88
  - type: spearman_max
89
+ value: 0.7952482154521802
90
+ name: Spearman Max
91
+ - task:
92
+ type: semantic-similarity
93
+ name: Semantic Similarity
94
+ dataset:
95
+ name: MiniLM test
96
+ type: MiniLM-test
97
+ metrics:
98
+ - type: pearson_cosine
99
+ value: 0.8166405741503688
100
+ name: Pearson Cosine
101
+ - type: spearman_cosine
102
+ value: 0.8039812454999457
103
+ name: Spearman Cosine
104
+ - type: pearson_manhattan
105
+ value: 0.7971025234300892
106
+ name: Pearson Manhattan
107
+ - type: spearman_manhattan
108
+ value: 0.7969688965888463
109
+ name: Spearman Manhattan
110
+ - type: pearson_euclidean
111
+ value: 0.7993679672017562
112
+ name: Pearson Euclidean
113
+ - type: spearman_euclidean
114
+ value: 0.7987110950686573
115
+ name: Spearman Euclidean
116
+ - type: pearson_dot
117
+ value: 0.745396423140658
118
+ name: Pearson Dot
119
+ - type: spearman_dot
120
+ value: 0.7692160449143377
121
+ name: Spearman Dot
122
+ - type: pearson_max
123
+ value: 0.8166405741503688
124
+ name: Pearson Max
125
+ - type: spearman_max
126
+ value: 0.8039812454999457
127
  name: Spearman Max
128
  ---
129
 
 
176
  model = SentenceTransformer("philipp-zettl/MiniLM-amazon_massive_intent-similarity")
177
  # Run inference
178
  sentences = [
179
+ 'vertel my die huidige tyd in ottawa',
180
+ 'query cooking',
181
+ 'request definition',
182
  ]
183
  embeddings = model.encode(sentences)
184
  print(embeddings.shape)
 
224
 
225
  | Metric | Value |
226
  |:--------------------|:-----------|
227
+ | pearson_cosine | 0.8039 |
228
+ | **spearman_cosine** | **0.7952** |
229
+ | pearson_manhattan | 0.7803 |
230
+ | spearman_manhattan | 0.7844 |
231
+ | pearson_euclidean | 0.7833 |
232
+ | spearman_euclidean | 0.7868 |
233
+ | pearson_dot | 0.739 |
234
+ | spearman_dot | 0.7653 |
235
+ | pearson_max | 0.8039 |
236
+ | spearman_max | 0.7952 |
237
+
238
+ #### Semantic Similarity
239
+ * Dataset: `MiniLM-test`
240
+ * Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
241
+
242
+ | Metric | Value |
243
+ |:--------------------|:----------|
244
+ | pearson_cosine | 0.8166 |
245
+ | **spearman_cosine** | **0.804** |
246
+ | pearson_manhattan | 0.7971 |
247
+ | spearman_manhattan | 0.797 |
248
+ | pearson_euclidean | 0.7994 |
249
+ | spearman_euclidean | 0.7987 |
250
+ | pearson_dot | 0.7454 |
251
+ | spearman_dot | 0.7692 |
252
+ | pearson_max | 0.8166 |
253
+ | spearman_max | 0.804 |
254
 
255
  <!--
256
  ## Bias, Risks and Limitations
 
393
  </details>
394
 
395
  ### Training Logs
396
+ | Epoch | Step | Training Loss | loss | MiniLM-dev_spearman_cosine | MiniLM-test_spearman_cosine |
397
+ |:-----:|:----:|:-------------:|:------:|:--------------------------:|:---------------------------:|
398
+ | 0.032 | 100 | 6.7664 | - | - | - |
399
+ | 0.064 | 200 | 4.3148 | - | - | - |
400
+ | 0.096 | 300 | 3.0991 | - | - | - |
401
+ | 0.128 | 400 | 3.0274 | - | - | - |
402
+ | 0.16 | 500 | 3.6869 | - | - | - |
403
+ | 0.192 | 600 | 4.9801 | - | - | - |
404
+ | 0.224 | 700 | 3.5306 | - | - | - |
405
+ | 0.256 | 800 | 2.8376 | - | - | - |
406
+ | 0.288 | 900 | 4.0961 | - | - | - |
407
+ | 0.32 | 1000 | 2.7293 | 2.4118 | 0.7245 | - |
408
+ | 0.352 | 1100 | 3.657 | - | - | - |
409
+ | 0.384 | 1200 | 4.0484 | - | - | - |
410
+ | 0.416 | 1300 | 3.2268 | - | - | - |
411
+ | 0.448 | 1400 | 2.6421 | - | - | - |
412
+ | 0.48 | 1500 | 3.3672 | - | - | - |
413
+ | 0.512 | 1600 | 3.285 | - | - | - |
414
+ | 0.544 | 1700 | 3.6787 | - | - | - |
415
+ | 0.576 | 1800 | 3.8738 | - | - | - |
416
+ | 0.608 | 1900 | 2.7925 | - | - | - |
417
+ | 0.64 | 2000 | 2.4805 | 1.8042 | 0.7901 | - |
418
+ | 0.672 | 2100 | 3.2279 | - | - | - |
419
+ | 0.704 | 2200 | 2.8016 | - | - | - |
420
+ | 0.736 | 2300 | 4.1615 | - | - | - |
421
+ | 0.768 | 2400 | 3.5664 | - | - | - |
422
+ | 0.8 | 2500 | 2.9362 | - | - | - |
423
+ | 0.832 | 2600 | 3.0684 | - | - | - |
424
+ | 0.864 | 2700 | 3.168 | - | - | - |
425
+ | 0.896 | 2800 | 2.707 | - | - | - |
426
+ | 0.928 | 2900 | 2.2231 | - | - | - |
427
+ | 0.96 | 3000 | 1.2541 | 1.6753 | 0.7952 | - |
428
+ | 0.992 | 3100 | 0.5943 | - | - | - |
429
+ | 1.0 | 3125 | - | - | - | 0.8040 |
430
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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432
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