Padomin commited on
Commit
9633d18
·
1 Parent(s): 181d3ab

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +19 -19
README.md CHANGED
@@ -16,16 +16,16 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [sonoisa/t5-base-japanese](https://huggingface.co/sonoisa/t5-base-japanese) on the te_dx_jp dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.4552
20
- - Wer: 0.1738
21
  - Mer: 0.1679
22
- - Wil: 0.2549
23
- - Wip: 0.7451
24
- - Hits: 55655
25
- - Substitutions: 6417
26
- - Deletions: 2515
27
- - Insertions: 2295
28
- - Cer: 0.1358
29
 
30
  ## Model description
31
 
@@ -57,16 +57,16 @@ The following hyperparameters were used during training:
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions | Cer |
59
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
60
- | 0.6066 | 1.0 | 1457 | 0.4857 | 0.2409 | 0.2216 | 0.3093 | 0.6907 | 54673 | 6687 | 3227 | 5647 | 0.2134 |
61
- | 0.5605 | 2.0 | 2914 | 0.4415 | 0.1932 | 0.1838 | 0.2713 | 0.7287 | 55433 | 6531 | 2623 | 3327 | 0.1579 |
62
- | 0.4629 | 3.0 | 4371 | 0.4327 | 0.1789 | 0.1721 | 0.2603 | 0.7397 | 55580 | 6534 | 2473 | 2548 | 0.1440 |
63
- | 0.3676 | 4.0 | 5828 | 0.4309 | 0.1729 | 0.1671 | 0.2533 | 0.7467 | 55663 | 6337 | 2587 | 2243 | 0.1358 |
64
- | 0.3862 | 5.0 | 7285 | 0.4359 | 0.1737 | 0.1677 | 0.2539 | 0.7461 | 55698 | 6350 | 2539 | 2330 | 0.1352 |
65
- | 0.3699 | 6.0 | 8742 | 0.4355 | 0.1722 | 0.1665 | 0.2527 | 0.7473 | 55686 | 6340 | 2561 | 2221 | 0.1349 |
66
- | 0.3474 | 7.0 | 10199 | 0.4415 | 0.1732 | 0.1673 | 0.2540 | 0.7460 | 55686 | 6390 | 2511 | 2286 | 0.1351 |
67
- | 0.3278 | 8.0 | 11656 | 0.4466 | 0.1744 | 0.1684 | 0.2557 | 0.7443 | 55629 | 6441 | 2517 | 2308 | 0.1356 |
68
- | 0.2957 | 9.0 | 13113 | 0.4541 | 0.1740 | 0.1680 | 0.2551 | 0.7449 | 55656 | 6422 | 2509 | 2310 | 0.1363 |
69
- | 0.3434 | 10.0 | 14570 | 0.4552 | 0.1738 | 0.1679 | 0.2549 | 0.7451 | 55655 | 6417 | 2515 | 2295 | 0.1358 |
70
 
71
 
72
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [sonoisa/t5-base-japanese](https://huggingface.co/sonoisa/t5-base-japanese) on the te_dx_jp dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.4589
20
+ - Wer: 0.1739
21
  - Mer: 0.1679
22
+ - Wil: 0.2545
23
+ - Wip: 0.7455
24
+ - Hits: 55667
25
+ - Substitutions: 6385
26
+ - Deletions: 2535
27
+ - Insertions: 2309
28
+ - Cer: 0.1363
29
 
30
  ## Model description
31
 
 
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions | Cer |
59
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
60
+ | 0.6586 | 1.0 | 1457 | 0.4812 | 0.2110 | 0.1994 | 0.2888 | 0.7112 | 54745 | 6712 | 3130 | 3789 | 0.1784 |
61
+ | 0.5246 | 2.0 | 2914 | 0.4383 | 0.1839 | 0.1770 | 0.2641 | 0.7359 | 55251 | 6428 | 2908 | 2544 | 0.1481 |
62
+ | 0.4795 | 3.0 | 4371 | 0.4327 | 0.1811 | 0.1740 | 0.2610 | 0.7390 | 55523 | 6438 | 2626 | 2631 | 0.1458 |
63
+ | 0.4224 | 4.0 | 5828 | 0.4328 | 0.1754 | 0.1693 | 0.2555 | 0.7445 | 55577 | 6338 | 2672 | 2318 | 0.1397 |
64
+ | 0.3755 | 5.0 | 7285 | 0.4351 | 0.1723 | 0.1668 | 0.2529 | 0.7471 | 55607 | 6326 | 2654 | 2150 | 0.1362 |
65
+ | 0.3538 | 6.0 | 8742 | 0.4413 | 0.1728 | 0.1670 | 0.2531 | 0.7469 | 55696 | 6341 | 2550 | 2271 | 0.1372 |
66
+ | 0.3686 | 7.0 | 10199 | 0.4455 | 0.1715 | 0.1659 | 0.2519 | 0.7481 | 55692 | 6319 | 2576 | 2180 | 0.1354 |
67
+ | 0.3004 | 8.0 | 11656 | 0.4518 | 0.1727 | 0.1668 | 0.2537 | 0.7463 | 55712 | 6400 | 2475 | 2281 | 0.1371 |
68
+ | 0.2914 | 9.0 | 13113 | 0.4564 | 0.1739 | 0.1678 | 0.2544 | 0.7456 | 55681 | 6378 | 2528 | 2323 | 0.1370 |
69
+ | 0.297 | 10.0 | 14570 | 0.4589 | 0.1739 | 0.1679 | 0.2545 | 0.7455 | 55667 | 6385 | 2535 | 2309 | 0.1363 |
70
 
71
 
72
  ### Framework versions