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t5-base-TEDxJP-5front-1body-5rear

Text2Text Generation
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PyTorch
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t5
Generated from Trainer
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: 0.4393
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- - Wer: 0.1715
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- - Mer: 0.1657
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- - Wil: 0.2520
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- - Wip: 0.7480
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- - Hits: 55766
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- - Substitutions: 6346
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- - Deletions: 2475
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- - Insertions: 2256
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- - Cer: 0.1352
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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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- | 0.5978 | 1.0 | 1457 | 0.4748 | 0.2133 | 0.2003 | 0.2897 | 0.7103 | 55011 | 6755 | 2821 | 4200 | 0.1826 |
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- | 0.4837 | 2.0 | 2914 | 0.4190 | 0.1803 | 0.1737 | 0.2604 | 0.7396 | 55400 | 6393 | 2794 | 2459 | 0.1464 |
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- | 0.4576 | 3.0 | 4371 | 0.4114 | 0.1729 | 0.1673 | 0.2547 | 0.7453 | 55606 | 6443 | 2538 | 2187 | 0.1342 |
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- | 0.3888 | 4.0 | 5828 | 0.4169 | 0.1729 | 0.1671 | 0.2533 | 0.7467 | 55683 | 6347 | 2557 | 2264 | 0.1357 |
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- | 0.3647 | 5.0 | 7285 | 0.4178 | 0.1728 | 0.1666 | 0.2528 | 0.7472 | 55832 | 6358 | 2397 | 2403 | 0.1364 |
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- | 0.3226 | 6.0 | 8742 | 0.4199 | 0.1703 | 0.1648 | 0.2507 | 0.7493 | 55715 | 6304 | 2568 | 2125 | 0.1358 |
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- | 0.3045 | 7.0 | 10199 | 0.4309 | 0.1711 | 0.1653 | 0.2513 | 0.7487 | 55793 | 6322 | 2472 | 2257 | 0.1360 |
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- | 0.32 | 8.0 | 11656 | 0.4301 | 0.1714 | 0.1656 | 0.2518 | 0.7482 | 55768 | 6343 | 2476 | 2251 | 0.1341 |
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- | 0.2809 | 9.0 | 13113 | 0.4371 | 0.1706 | 0.1649 | 0.2513 | 0.7487 | 55774 | 6355 | 2458 | 2203 | 0.1333 |
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- | 0.2726 | 10.0 | 14570 | 0.4393 | 0.1715 | 0.1657 | 0.2520 | 0.7480 | 55766 | 6346 | 2475 | 2256 | 0.1352 |
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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: 0.4411
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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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  | 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