update model card README.md

README.md

@@ -16,16 +16,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.4373
-- Wer: 0.1699
-- Mer: 0.1642
-- Wil: 0.2499
-- Wip: 0.7501
-- Hits: 55848
-- Substitutions: 6297
-- Deletions: 2442
-- Insertions: 2236
-- Cer: 0.1360
+- Loss: 0.4383
+- Wer: 0.1697
+- Mer: 0.1641
+- Wil: 0.2500
+- Wip: 0.7500
+- Hits: 55852
+- Substitutions: 6314
+- Deletions: 2421
+- Insertions: 2228
+- Cer: 0.1328
 
 ## Model description
 
@@ -57,16 +57,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Wer    | Mer    | Wil    | Wip    | Hits  | Substitutions | Deletions | Insertions | Cer    |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
-| 0.5812        | 1.0   | 1457  | 0.4658          | 0.2393 | 0.2197 | 0.3076 | 0.6924 | 54882 | 6717          | 2988      | 5750       | 0.2187 |
-| 0.5253        | 2.0   | 2914  | 0.4264          | 0.1832 | 0.1756 | 0.2632 | 0.7368 | 55549 | 6498          | 2540      | 2793       | 0.1520 |
-| 0.4412        | 3.0   | 4371  | 0.4161          | 0.1728 | 0.1670 | 0.2535 | 0.7465 | 55665 | 6363          | 2559      | 2240       | 0.1360 |
-| 0.3465        | 4.0   | 5828  | 0.4155          | 0.1706 | 0.1650 | 0.2504 | 0.7496 | 55756 | 6266          | 2565      | 2186       | 0.1356 |
-| 0.3575        | 5.0   | 7285  | 0.4196          | 0.1696 | 0.1642 | 0.2498 | 0.7502 | 55781 | 6283          | 2523      | 2151       | 0.1358 |
-| 0.3556        | 6.0   | 8742  | 0.4164          | 0.1687 | 0.1632 | 0.2487 | 0.7513 | 55857 | 6274          | 2456      | 2167       | 0.1341 |
-| 0.3145        | 7.0   | 10199 | 0.4245          | 0.1705 | 0.1648 | 0.2504 | 0.7496 | 55819 | 6297          | 2471      | 2244       | 0.1355 |
-| 0.3074        | 8.0   | 11656 | 0.4266          | 0.1693 | 0.1639 | 0.2494 | 0.7506 | 55799 | 6274          | 2514      | 2148       | 0.1358 |
-| 0.269         | 9.0   | 13113 | 0.4352          | 0.1693 | 0.1637 | 0.2492 | 0.7508 | 55878 | 6288          | 2421      | 2225       | 0.1346 |
-| 0.3162        | 10.0  | 14570 | 0.4373          | 0.1699 | 0.1642 | 0.2499 | 0.7501 | 55848 | 6297          | 2442      | 2236       | 0.1360 |
+| 0.6185        | 1.0   | 1457  | 0.4683          | 0.1948 | 0.1863 | 0.2758 | 0.7242 | 54959 | 6658          | 2970      | 2956       | 0.1682 |
+| 0.5149        | 2.0   | 2914  | 0.4280          | 0.1773 | 0.1713 | 0.2591 | 0.7409 | 55376 | 6468          | 2743      | 2238       | 0.1426 |
+| 0.4705        | 3.0   | 4371  | 0.4173          | 0.1743 | 0.1682 | 0.2552 | 0.7448 | 55680 | 6418          | 2489      | 2351       | 0.1387 |
+| 0.4023        | 4.0   | 5828  | 0.4114          | 0.1713 | 0.1656 | 0.2515 | 0.7485 | 55751 | 6313          | 2523      | 2230       | 0.1335 |
+| 0.3497        | 5.0   | 7285  | 0.4162          | 0.1722 | 0.1662 | 0.2522 | 0.7478 | 55787 | 6331          | 2469      | 2323       | 0.1365 |
+| 0.3246        | 6.0   | 8742  | 0.4211          | 0.1714 | 0.1655 | 0.2513 | 0.7487 | 55802 | 6310          | 2475      | 2284       | 0.1367 |
+| 0.3492        | 7.0   | 10199 | 0.4282          | 0.1711 | 0.1652 | 0.2514 | 0.7486 | 55861 | 6350          | 2376      | 2325       | 0.1341 |
+| 0.2788        | 8.0   | 11656 | 0.4322          | 0.1698 | 0.1641 | 0.2502 | 0.7498 | 55883 | 6342          | 2362      | 2265       | 0.1327 |
+| 0.2801        | 9.0   | 13113 | 0.4362          | 0.1710 | 0.1652 | 0.2514 | 0.7486 | 55828 | 6351          | 2408      | 2288       | 0.1352 |
+| 0.2773        | 10.0  | 14570 | 0.4383          | 0.1697 | 0.1641 | 0.2500 | 0.7500 | 55852 | 6314          | 2421      | 2228       | 0.1328 |
 
 
 ### Framework versions