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Text2Text Generation
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t5
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text-generation-inference
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update model card README.md

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@@ -16,16 +16,16 @@ should probably proofread and complete it, then remove this comment. -->
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4411
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- - Wer: 0.1694
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- - Mer: 0.1636
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- - Wil: 0.2489
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- - Wip: 0.7511
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- - Hits: 55916
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- - Substitutions: 6268
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- - Deletions: 2403
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- - Insertions: 2267
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- - Cer: 0.1371
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  ## Model description
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@@ -57,16 +57,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions | Cer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
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- | 0.5975 | 1.0 | 1457 | 0.4673 | 0.2058 | 0.1947 | 0.2831 | 0.7169 | 54961 | 6617 | 3009 | 3665 | 0.1746 |
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- | 0.5623 | 2.0 | 2914 | 0.4246 | 0.1801 | 0.1737 | 0.2603 | 0.7397 | 55335 | 6381 | 2871 | 2378 | 0.1452 |
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- | 0.4438 | 3.0 | 4371 | 0.4104 | 0.1735 | 0.1675 | 0.2541 | 0.7459 | 55705 | 6379 | 2503 | 2326 | 0.1357 |
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- | 0.4177 | 4.0 | 5828 | 0.4119 | 0.1704 | 0.1647 | 0.2504 | 0.7496 | 55837 | 6299 | 2451 | 2258 | 0.1338 |
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- | 0.3548 | 5.0 | 7285 | 0.4171 | 0.1690 | 0.1637 | 0.2487 | 0.7513 | 55785 | 6228 | 2574 | 2115 | 0.1328 |
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- | 0.3115 | 6.0 | 8742 | 0.4245 | 0.1687 | 0.1633 | 0.2484 | 0.7516 | 55838 | 6243 | 2506 | 2148 | 0.1340 |
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- | 0.2997 | 7.0 | 10199 | 0.4302 | 0.1706 | 0.1647 | 0.2503 | 0.7497 | 55898 | 6300 | 2389 | 2329 | 0.1351 |
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- | 0.2977 | 8.0 | 11656 | 0.4361 | 0.1699 | 0.1642 | 0.2496 | 0.7504 | 55879 | 6278 | 2430 | 2266 | 0.1342 |
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- | 0.2639 | 9.0 | 13113 | 0.4393 | 0.1688 | 0.1632 | 0.2486 | 0.7514 | 55891 | 6265 | 2431 | 2208 | 0.1365 |
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- | 0.2879 | 10.0 | 14570 | 0.4411 | 0.1694 | 0.1636 | 0.2489 | 0.7511 | 55916 | 6268 | 2403 | 2267 | 0.1371 |
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  ### Framework versions
 
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4392
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+ - Wer: 0.1702
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+ - Mer: 0.1644
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+ - Wil: 0.2508
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+ - Wip: 0.7492
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+ - Hits: 55879
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+ - Substitutions: 6371
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+ - Deletions: 2337
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+ - Insertions: 2282
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+ - Cer: 0.1330
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions | Cer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
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+ | 0.5939 | 1.0 | 1457 | 0.4718 | 0.2101 | 0.1989 | 0.2858 | 0.7142 | 54640 | 6461 | 3486 | 3620 | 0.1750 |
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+ | 0.5477 | 2.0 | 2914 | 0.4248 | 0.1821 | 0.1750 | 0.2625 | 0.7375 | 55437 | 6468 | 2682 | 2613 | 0.1517 |
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+ | 0.4481 | 3.0 | 4371 | 0.4129 | 0.1726 | 0.1668 | 0.2544 | 0.7456 | 55654 | 6453 | 2480 | 2212 | 0.1350 |
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+ | 0.3919 | 4.0 | 5828 | 0.4108 | 0.1719 | 0.1661 | 0.2526 | 0.7474 | 55754 | 6367 | 2466 | 2271 | 0.1349 |
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+ | 0.353 | 5.0 | 7285 | 0.4125 | 0.1693 | 0.1637 | 0.2493 | 0.7507 | 55856 | 6287 | 2444 | 2206 | 0.1336 |
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+ | 0.3367 | 6.0 | 8742 | 0.4194 | 0.1696 | 0.1639 | 0.2493 | 0.7507 | 55886 | 6271 | 2430 | 2256 | 0.1324 |
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+ | 0.2959 | 7.0 | 10199 | 0.4274 | 0.1698 | 0.1643 | 0.2502 | 0.7498 | 55810 | 6318 | 2459 | 2193 | 0.1343 |
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+ | 0.2979 | 8.0 | 11656 | 0.4304 | 0.1711 | 0.1652 | 0.2516 | 0.7484 | 55871 | 6367 | 2349 | 2338 | 0.1337 |
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+ | 0.2714 | 9.0 | 13113 | 0.4363 | 0.1694 | 0.1637 | 0.2501 | 0.7499 | 55884 | 6354 | 2349 | 2239 | 0.1319 |
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+ | 0.2797 | 10.0 | 14570 | 0.4392 | 0.1702 | 0.1644 | 0.2508 | 0.7492 | 55879 | 6371 | 2337 | 2282 | 0.1330 |
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  ### Framework versions