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: 0.4392
-- Wer: 0.1702
-- Mer: 0.1644
-- Wil: 0.2508
-- Wip: 0.7492
-- Hits: 55879
-- Substitutions: 6371
-- Deletions: 2337
-- Insertions: 2282
-- Cer: 0.1330
+- 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
 
 ## 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    |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
-| 0.5939        | 1.0   | 1457  | 0.4718          | 0.2101 | 0.1989 | 0.2858 | 0.7142 | 54640 | 6461          | 3486      | 3620       | 0.1750 |
-| 0.5477        | 2.0   | 2914  | 0.4248          | 0.1821 | 0.1750 | 0.2625 | 0.7375 | 55437 | 6468          | 2682      | 2613       | 0.1517 |
-| 0.4481        | 3.0   | 4371  | 0.4129          | 0.1726 | 0.1668 | 0.2544 | 0.7456 | 55654 | 6453          | 2480      | 2212       | 0.1350 |
-| 0.3919        | 4.0   | 5828  | 0.4108          | 0.1719 | 0.1661 | 0.2526 | 0.7474 | 55754 | 6367          | 2466      | 2271       | 0.1349 |
-| 0.353         | 5.0   | 7285  | 0.4125          | 0.1693 | 0.1637 | 0.2493 | 0.7507 | 55856 | 6287          | 2444      | 2206       | 0.1336 |
-| 0.3367        | 6.0   | 8742  | 0.4194          | 0.1696 | 0.1639 | 0.2493 | 0.7507 | 55886 | 6271          | 2430      | 2256       | 0.1324 |
-| 0.2959        | 7.0   | 10199 | 0.4274          | 0.1698 | 0.1643 | 0.2502 | 0.7498 | 55810 | 6318          | 2459      | 2193       | 0.1343 |
-| 0.2979        | 8.0   | 11656 | 0.4304          | 0.1711 | 0.1652 | 0.2516 | 0.7484 | 55871 | 6367          | 2349      | 2338       | 0.1337 |
-| 0.2714        | 9.0   | 13113 | 0.4363          | 0.1694 | 0.1637 | 0.2501 | 0.7499 | 55884 | 6354          | 2349      | 2239       | 0.1319 |
-| 0.2797        | 10.0  | 14570 | 0.4392          | 0.1702 | 0.1644 | 0.2508 | 0.7492 | 55879 | 6371          | 2337      | 2282       | 0.1330 |
+| 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 |
 
 
 ### Framework versions