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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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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
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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: 0.4406
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- Wer: 0.1708
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- Mer: 0.1650
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- Wil: 0.2510
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- Wip: 0.7490
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- Hits: 55830
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- Substitutions: 6334
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- Deletions: 2423
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- Insertions: 2273
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- Cer: 0.1334
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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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| 0.6266 | 1.0 | 1457 | 0.4764 | 0.2167 | 0.2030 | 0.2919 | 0.7081 | 54977 | 6723 | 2887 | 4389 | 0.1978 |
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| 0.512 | 2.0 | 2914 | 0.4281 | 0.1787 | 0.1727 | 0.2600 | 0.7400 | 55299 | 6432 | 2856 | 2253 | 0.1408 |
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| 0.4636 | 3.0 | 4371 | 0.4205 | 0.1775 | 0.1708 | 0.2582 | 0.7418 | 55665 | 6466 | 2456 | 2540 | 0.1383 |
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| 0.4055 | 4.0 | 5828 | 0.4158 | 0.1721 | 0.1663 | 0.2529 | 0.7471 | 55724 | 6376 | 2487 | 2250 | 0.1344 |
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| 0.356 | 5.0 | 7285 | 0.4195 | 0.1711 | 0.1654 | 0.2520 | 0.7480 | 55769 | 6376 | 2442 | 2235 | 0.1338 |
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| 0.3273 | 6.0 | 8742 | 0.4228 | 0.1700 | 0.1644 | 0.2506 | 0.7494 | 55792 | 6333 | 2462 | 2183 | 0.1330 |
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| 0.3586 | 7.0 | 10199 | 0.4288 | 0.1702 | 0.1645 | 0.2506 | 0.7494 | 55814 | 6331 | 2442 | 2219 | 0.1326 |
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| 0.2836 | 8.0 | 11656 | 0.4339 | 0.1710 | 0.1651 | 0.2515 | 0.7485 | 55833 | 6359 | 2395 | 2290 | 0.1334 |
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| 0.285 | 9.0 | 13113 | 0.4370 | 0.1708 | 0.1649 | 0.2509 | 0.7491 | 55854 | 6330 | 2403 | 2297 | 0.1333 |
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| 0.285 | 10.0 | 14570 | 0.4406 | 0.1708 | 0.1650 | 0.2510 | 0.7490 | 55830 | 6334 | 2423 | 2273 | 0.1334 |
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### Framework versions
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