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README.md
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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.
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- Wer: 0.
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- Mer: 0.
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- Wil: 0.
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- Wip: 0.
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- Hits:
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- Substitutions:
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- Deletions:
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- Insertions:
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- Cer: 0.
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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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### 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: 0.4552
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- Wer: 0.1738
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- Mer: 0.1679
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- Wil: 0.2549
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- Wip: 0.7451
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- Hits: 55655
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- Substitutions: 6417
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- Deletions: 2515
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- Insertions: 2295
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- Cer: 0.1358
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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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| 0.6066 | 1.0 | 1457 | 0.4857 | 0.2409 | 0.2216 | 0.3093 | 0.6907 | 54673 | 6687 | 3227 | 5647 | 0.2134 |
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| 0.5605 | 2.0 | 2914 | 0.4415 | 0.1932 | 0.1838 | 0.2713 | 0.7287 | 55433 | 6531 | 2623 | 3327 | 0.1579 |
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| 0.4629 | 3.0 | 4371 | 0.4327 | 0.1789 | 0.1721 | 0.2603 | 0.7397 | 55580 | 6534 | 2473 | 2548 | 0.1440 |
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| 0.3676 | 4.0 | 5828 | 0.4309 | 0.1729 | 0.1671 | 0.2533 | 0.7467 | 55663 | 6337 | 2587 | 2243 | 0.1358 |
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| 0.3862 | 5.0 | 7285 | 0.4359 | 0.1737 | 0.1677 | 0.2539 | 0.7461 | 55698 | 6350 | 2539 | 2330 | 0.1352 |
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| 0.3699 | 6.0 | 8742 | 0.4355 | 0.1722 | 0.1665 | 0.2527 | 0.7473 | 55686 | 6340 | 2561 | 2221 | 0.1349 |
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| 0.3474 | 7.0 | 10199 | 0.4415 | 0.1732 | 0.1673 | 0.2540 | 0.7460 | 55686 | 6390 | 2511 | 2286 | 0.1351 |
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| 0.3278 | 8.0 | 11656 | 0.4466 | 0.1744 | 0.1684 | 0.2557 | 0.7443 | 55629 | 6441 | 2517 | 2308 | 0.1356 |
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| 0.2957 | 9.0 | 13113 | 0.4541 | 0.1740 | 0.1680 | 0.2551 | 0.7449 | 55656 | 6422 | 2509 | 2310 | 0.1363 |
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| 0.3434 | 10.0 | 14570 | 0.4552 | 0.1738 | 0.1679 | 0.2549 | 0.7451 | 55655 | 6417 | 2515 | 2295 | 0.1358 |
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### Framework versions
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