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t5-base-TEDxJP-2front-1body-2rear

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text2text-generation
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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: 0.4505
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- - Wer: 0.1712
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- - Mer: 0.1655
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- - Wil: 0.2531
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- - Wip: 0.7469
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- - Hits: 55743
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- - Substitutions: 6461
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- - Deletions: 2383
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- - Insertions: 2211
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- - Cer: 0.1339
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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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- | 0.615 | 1.0 | 1457 | 0.4804 | 0.1973 | 0.1891 | 0.2767 | 0.7233 | 54644 | 6468 | 3475 | 2802 | 0.1675 |
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- | 0.5593 | 2.0 | 2914 | 0.4346 | 0.1787 | 0.1727 | 0.2608 | 0.7392 | 55300 | 6497 | 2790 | 2254 | 0.1419 |
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- | 0.4676 | 3.0 | 4371 | 0.4220 | 0.1748 | 0.1689 | 0.2571 | 0.7429 | 55545 | 6510 | 2532 | 2246 | 0.1376 |
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- | 0.4086 | 4.0 | 5828 | 0.4240 | 0.1732 | 0.1673 | 0.2549 | 0.7451 | 55704 | 6469 | 2414 | 2306 | 0.1360 |
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- | 0.3617 | 5.0 | 7285 | 0.4260 | 0.1707 | 0.1654 | 0.2525 | 0.7475 | 55622 | 6401 | 2564 | 2059 | 0.1333 |
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- | 0.3621 | 6.0 | 8742 | 0.4316 | 0.1711 | 0.1655 | 0.2527 | 0.7473 | 55721 | 6422 | 2444 | 2182 | 0.1337 |
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- | 0.308 | 7.0 | 10199 | 0.4385 | 0.1712 | 0.1656 | 0.2529 | 0.7471 | 55714 | 6427 | 2446 | 2186 | 0.1338 |
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- | 0.3156 | 8.0 | 11656 | 0.4430 | 0.1718 | 0.1661 | 0.2535 | 0.7465 | 55725 | 6448 | 2414 | 2235 | 0.1345 |
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- | 0.2914 | 9.0 | 13113 | 0.4456 | 0.1709 | 0.1653 | 0.2529 | 0.7471 | 55731 | 6455 | 2401 | 2182 | 0.1335 |
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- | 0.3028 | 10.0 | 14570 | 0.4505 | 0.1712 | 0.1655 | 0.2531 | 0.7469 | 55743 | 6461 | 2383 | 2211 | 0.1339 |
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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: 0.4473
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+ - Wer: 0.1735
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+ - Mer: 0.1675
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+ - Wil: 0.2549
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+ - Wip: 0.7451
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+ - Hits: 55674
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+ - Substitutions: 6443
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+ - Deletions: 2470
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+ - Insertions: 2291
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+ - Cer: 0.1360
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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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+ | 0.5915 | 1.0 | 1457 | 0.4825 | 0.2230 | 0.2081 | 0.2976 | 0.7024 | 54814 | 6785 | 2988 | 4630 | 0.1980 |
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+ | 0.5402 | 2.0 | 2914 | 0.4359 | 0.1855 | 0.1779 | 0.2664 | 0.7336 | 55358 | 6566 | 2663 | 2753 | 0.1503 |
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+ | 0.4635 | 3.0 | 4371 | 0.4277 | 0.1762 | 0.1701 | 0.2584 | 0.7416 | 55538 | 6528 | 2521 | 2334 | 0.1368 |
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+ | 0.3608 | 4.0 | 5828 | 0.4271 | 0.1723 | 0.1667 | 0.2529 | 0.7471 | 55621 | 6337 | 2629 | 2160 | 0.1342 |
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+ | 0.3825 | 5.0 | 7285 | 0.4276 | 0.1724 | 0.1666 | 0.2527 | 0.7473 | 55669 | 6328 | 2590 | 2214 | 0.1343 |
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+ | 0.3814 | 6.0 | 8742 | 0.4278 | 0.1727 | 0.1670 | 0.2537 | 0.7463 | 55613 | 6373 | 2601 | 2179 | 0.1360 |
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+ | 0.3412 | 7.0 | 10199 | 0.4344 | 0.1724 | 0.1668 | 0.2539 | 0.7461 | 55631 | 6410 | 2546 | 2180 | 0.1352 |
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+ | 0.3175 | 8.0 | 11656 | 0.4392 | 0.1724 | 0.1665 | 0.2534 | 0.7466 | 55713 | 6394 | 2480 | 2259 | 0.1362 |
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+ | 0.2871 | 9.0 | 13113 | 0.4456 | 0.1732 | 0.1671 | 0.2538 | 0.7462 | 55748 | 6393 | 2446 | 2347 | 0.1360 |
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+ | 0.3317 | 10.0 | 14570 | 0.4473 | 0.1735 | 0.1675 | 0.2549 | 0.7451 | 55674 | 6443 | 2470 | 2291 | 0.1360 |
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  ### Framework versions