---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- te_dx_jp
model-index:
- name: t5-base-TEDxJP-0front-1body-10rear-order-RB
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-TEDxJP-0front-1body-10rear-order-RB

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.
It achieves the following results on the evaluation set:
- Loss: 0.4713
- Wer: 0.1763
- Mer: 0.1704
- Wil: 0.2586
- Wip: 0.7414
- Hits: 55456
- Substitutions: 6510
- Deletions: 2621
- Insertions: 2256
- Cer: 0.1383

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Mer    | Wil    | Wip    | Hits  | Substitutions | Deletions | Insertions | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
| 0.6725        | 1.0   | 1457  | 0.4909          | 0.2293 | 0.2133 | 0.3017 | 0.6983 | 54628 | 6686          | 3273      | 4851       | 0.2018 |
| 0.5083        | 2.0   | 2914  | 0.4537          | 0.1849 | 0.1781 | 0.2663 | 0.7337 | 55108 | 6513          | 2966      | 2464       | 0.1465 |
| 0.4943        | 3.0   | 4371  | 0.4466          | 0.1778 | 0.1716 | 0.2599 | 0.7401 | 55424 | 6519          | 2644      | 2319       | 0.1377 |
| 0.4454        | 4.0   | 5828  | 0.4385          | 0.1760 | 0.1703 | 0.2579 | 0.7421 | 55384 | 6452          | 2751      | 2163       | 0.1380 |
| 0.411         | 5.0   | 7285  | 0.4460          | 0.1755 | 0.1697 | 0.2570 | 0.7430 | 55466 | 6430          | 2691      | 2216       | 0.1379 |
| 0.3756        | 6.0   | 8742  | 0.4519          | 0.1750 | 0.1694 | 0.2568 | 0.7432 | 55419 | 6435          | 2733      | 2133       | 0.1383 |
| 0.3647        | 7.0   | 10199 | 0.4585          | 0.1755 | 0.1699 | 0.2579 | 0.7421 | 55368 | 6475          | 2744      | 2115       | 0.1379 |
| 0.3079        | 8.0   | 11656 | 0.4622          | 0.1763 | 0.1704 | 0.2590 | 0.7410 | 55416 | 6540          | 2631      | 2213       | 0.1387 |
| 0.3029        | 9.0   | 13113 | 0.4699          | 0.1762 | 0.1703 | 0.2584 | 0.7416 | 55451 | 6499          | 2637      | 2245       | 0.1386 |
| 0.2968        | 10.0  | 14570 | 0.4713          | 0.1763 | 0.1704 | 0.2586 | 0.7414 | 55456 | 6510          | 2621      | 2256       | 0.1383 |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1