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: 0.4398
-- Wer: 0.1697
-- Mer: 0.1641
-- Wil: 0.2506
-- Wip: 0.7494
-- Hits: 55824
-- Substitutions: 6360
-- Deletions: 2403
-- Insertions: 2197
-- Cer: 0.1335
+- Loss: 0.4413
+- Wer: 0.1701
+- Mer: 0.1644
+- Wil: 0.2507
+- Wip: 0.7493
+- Hits: 55851
+- Substitutions: 6351
+- Deletions: 2385
+- Insertions: 2250
+- Cer: 0.1341
 
 ## 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    |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
-| 0.5976        | 1.0   | 1457  | 0.4725          | 0.2267 | 0.2107 | 0.2985 | 0.7015 | 54877 | 6654          | 3056      | 4935       | 0.2024 |
-| 0.4849        | 2.0   | 2914  | 0.4229          | 0.1789 | 0.1726 | 0.2590 | 0.7410 | 55401 | 6358          | 2828      | 2371       | 0.1432 |
-| 0.4632        | 3.0   | 4371  | 0.4167          | 0.1725 | 0.1667 | 0.2529 | 0.7471 | 55723 | 6347          | 2517      | 2280       | 0.1343 |
-| 0.3981        | 4.0   | 5828  | 0.4146          | 0.1716 | 0.1658 | 0.2521 | 0.7479 | 55784 | 6355          | 2448      | 2282       | 0.1336 |
-| 0.3551        | 5.0   | 7285  | 0.4189          | 0.1713 | 0.1652 | 0.2512 | 0.7488 | 55909 | 6340          | 2338      | 2388       | 0.1345 |
-| 0.3253        | 6.0   | 8742  | 0.4238          | 0.1714 | 0.1656 | 0.2514 | 0.7486 | 55805 | 6315          | 2467      | 2291       | 0.1359 |
-| 0.308         | 7.0   | 10199 | 0.4292          | 0.1703 | 0.1645 | 0.2506 | 0.7494 | 55862 | 6341          | 2384      | 2271       | 0.1353 |
-| 0.324         | 8.0   | 11656 | 0.4304          | 0.1693 | 0.1637 | 0.2497 | 0.7503 | 55856 | 6324          | 2407      | 2205       | 0.1336 |
-| 0.2861        | 9.0   | 13113 | 0.4356          | 0.1694 | 0.1639 | 0.2501 | 0.7499 | 55814 | 6336          | 2437      | 2166       | 0.1332 |
-| 0.2788        | 10.0  | 14570 | 0.4398          | 0.1697 | 0.1641 | 0.2506 | 0.7494 | 55824 | 6360          | 2403      | 2197       | 0.1335 |
+| 0.6042        | 1.0   | 1457  | 0.4733          | 0.2042 | 0.1938 | 0.2829 | 0.7171 | 54861 | 6662          | 3064      | 3461       | 0.1725 |
+| 0.5747        | 2.0   | 2914  | 0.4297          | 0.1812 | 0.1744 | 0.2610 | 0.7390 | 55403 | 6393          | 2791      | 2517       | 0.1458 |
+| 0.4509        | 3.0   | 4371  | 0.4187          | 0.1751 | 0.1686 | 0.2557 | 0.7443 | 55743 | 6433          | 2411      | 2464       | 0.1393 |
+| 0.4216        | 4.0   | 5828  | 0.4133          | 0.1715 | 0.1656 | 0.2515 | 0.7485 | 55811 | 6324          | 2452      | 2301       | 0.1346 |
+| 0.356         | 5.0   | 7285  | 0.4219          | 0.1703 | 0.1649 | 0.2502 | 0.7498 | 55717 | 6262          | 2608      | 2129       | 0.1327 |
+| 0.3174        | 6.0   | 8742  | 0.4232          | 0.1700 | 0.1642 | 0.2494 | 0.7506 | 55863 | 6253          | 2471      | 2253       | 0.1331 |
+| 0.2992        | 7.0   | 10199 | 0.4309          | 0.1701 | 0.1647 | 0.2511 | 0.7489 | 55746 | 6350          | 2491      | 2148       | 0.1332 |
+| 0.307         | 8.0   | 11656 | 0.4317          | 0.1699 | 0.1644 | 0.2505 | 0.7495 | 55801 | 6331          | 2455      | 2189       | 0.1336 |
+| 0.2692        | 9.0   | 13113 | 0.4385          | 0.1699 | 0.1643 | 0.2504 | 0.7496 | 55834 | 6334          | 2419      | 2223       | 0.1346 |
+| 0.2965        | 10.0  | 14570 | 0.4413          | 0.1701 | 0.1644 | 0.2507 | 0.7493 | 55851 | 6351          | 2385      | 2250       | 0.1341 |
 
 
 ### Framework versions