Padomin commited on
Commit
9801625
1 Parent(s): 7ef9754

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +20 -20
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: 0.4419
20
- - Wer: 0.1696
21
- - Mer: 0.1638
22
- - Wil: 0.2494
23
- - Wip: 0.7506
24
- - Hits: 55898
25
- - Substitutions: 6290
26
- - Deletions: 2399
27
- - Insertions: 2262
28
- - Cer: 0.1328
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
- | 0.5923 | 1.0 | 1457 | 0.4757 | 0.2180 | 0.2043 | 0.2941 | 0.7059 | 54841 | 6796 | 2950 | 4332 | 0.1931 |
61
- | 0.5311 | 2.0 | 2914 | 0.4278 | 0.1817 | 0.1745 | 0.2611 | 0.7389 | 55507 | 6397 | 2683 | 2656 | 0.1467 |
62
- | 0.4511 | 3.0 | 4371 | 0.4187 | 0.1715 | 0.1659 | 0.2529 | 0.7471 | 55668 | 6395 | 2524 | 2157 | 0.1322 |
63
- | 0.3544 | 4.0 | 5828 | 0.4179 | 0.1700 | 0.1644 | 0.2498 | 0.7502 | 55795 | 6272 | 2520 | 2185 | 0.1319 |
64
- | 0.3649 | 5.0 | 7285 | 0.4210 | 0.1700 | 0.1645 | 0.2506 | 0.7494 | 55799 | 6334 | 2454 | 2195 | 0.1319 |
65
- | 0.3622 | 6.0 | 8742 | 0.4223 | 0.1706 | 0.1649 | 0.2503 | 0.7497 | 55823 | 6278 | 2486 | 2256 | 0.1358 |
66
- | 0.3286 | 7.0 | 10199 | 0.4258 | 0.1692 | 0.1638 | 0.2492 | 0.7508 | 55807 | 6273 | 2507 | 2149 | 0.1325 |
67
- | 0.3069 | 8.0 | 11656 | 0.4307 | 0.1697 | 0.1640 | 0.2493 | 0.7507 | 55861 | 6265 | 2461 | 2232 | 0.1329 |
68
- | 0.2776 | 9.0 | 13113 | 0.4403 | 0.1697 | 0.1640 | 0.2497 | 0.7503 | 55883 | 6304 | 2400 | 2257 | 0.1328 |
69
- | 0.3175 | 10.0 | 14570 | 0.4419 | 0.1696 | 0.1638 | 0.2494 | 0.7506 | 55898 | 6290 | 2399 | 2262 | 0.1328 |
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: 0.4406
20
+ - Wer: 0.1708
21
+ - Mer: 0.1650
22
+ - Wil: 0.2510
23
+ - Wip: 0.7490
24
+ - Hits: 55830
25
+ - Substitutions: 6334
26
+ - Deletions: 2423
27
+ - Insertions: 2273
28
+ - Cer: 0.1334
29
 
30
  ## Model description
31
 
 
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions | Cer |
59
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
60
+ | 0.6266 | 1.0 | 1457 | 0.4764 | 0.2167 | 0.2030 | 0.2919 | 0.7081 | 54977 | 6723 | 2887 | 4389 | 0.1978 |
61
+ | 0.512 | 2.0 | 2914 | 0.4281 | 0.1787 | 0.1727 | 0.2600 | 0.7400 | 55299 | 6432 | 2856 | 2253 | 0.1408 |
62
+ | 0.4636 | 3.0 | 4371 | 0.4205 | 0.1775 | 0.1708 | 0.2582 | 0.7418 | 55665 | 6466 | 2456 | 2540 | 0.1383 |
63
+ | 0.4055 | 4.0 | 5828 | 0.4158 | 0.1721 | 0.1663 | 0.2529 | 0.7471 | 55724 | 6376 | 2487 | 2250 | 0.1344 |
64
+ | 0.356 | 5.0 | 7285 | 0.4195 | 0.1711 | 0.1654 | 0.2520 | 0.7480 | 55769 | 6376 | 2442 | 2235 | 0.1338 |
65
+ | 0.3273 | 6.0 | 8742 | 0.4228 | 0.1700 | 0.1644 | 0.2506 | 0.7494 | 55792 | 6333 | 2462 | 2183 | 0.1330 |
66
+ | 0.3586 | 7.0 | 10199 | 0.4288 | 0.1702 | 0.1645 | 0.2506 | 0.7494 | 55814 | 6331 | 2442 | 2219 | 0.1326 |
67
+ | 0.2836 | 8.0 | 11656 | 0.4339 | 0.1710 | 0.1651 | 0.2515 | 0.7485 | 55833 | 6359 | 2395 | 2290 | 0.1334 |
68
+ | 0.285 | 9.0 | 13113 | 0.4370 | 0.1708 | 0.1649 | 0.2509 | 0.7491 | 55854 | 6330 | 2403 | 2297 | 0.1333 |
69
+ | 0.285 | 10.0 | 14570 | 0.4406 | 0.1708 | 0.1650 | 0.2510 | 0.7490 | 55830 | 6334 | 2423 | 2273 | 0.1334 |
70
 
71
 
72
  ### Framework versions