---
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: 0.4705
- Wer: 0.1772
- Mer: 0.1711
- Wil: 0.2598
- Wip: 0.7402
- Hits: 55441
- Substitutions: 6558
- Deletions: 2588
- Insertions: 2296
- Cer: 0.1388

## 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: 10
- 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
| 0.6067        | 1.0   | 1457  | 0.4967          | 0.2034 | 0.1934 | 0.2844 | 0.7156 | 54800 | 6821          | 2966      | 3351       | 0.1679 |
| 0.579         | 2.0   | 2914  | 0.4534          | 0.1882 | 0.1805 | 0.2697 | 0.7303 | 55162 | 6619          | 2806      | 2728       | 0.1546 |
| 0.4934        | 3.0   | 4371  | 0.4463          | 0.1768 | 0.1710 | 0.2592 | 0.7408 | 55362 | 6496          | 2729      | 2197       | 0.1396 |
| 0.4371        | 4.0   | 5828  | 0.4444          | 0.1766 | 0.1707 | 0.2580 | 0.7420 | 55381 | 6417          | 2789      | 2197       | 0.1387 |
| 0.3917        | 5.0   | 7285  | 0.4450          | 0.1771 | 0.1711 | 0.2595 | 0.7405 | 55415 | 6520          | 2652      | 2269       | 0.1389 |
| 0.3614        | 6.0   | 8742  | 0.4516          | 0.1775 | 0.1714 | 0.2592 | 0.7408 | 55443 | 6481          | 2663      | 2323       | 0.1379 |
| 0.375         | 7.0   | 10199 | 0.4568          | 0.1777 | 0.1715 | 0.2593 | 0.7407 | 55418 | 6475          | 2694      | 2306       | 0.1396 |
| 0.3615        | 8.0   | 11656 | 0.4622          | 0.1764 | 0.1706 | 0.2585 | 0.7415 | 55380 | 6472          | 2735      | 2188       | 0.1382 |
| 0.3129        | 9.0   | 13113 | 0.4678          | 0.1770 | 0.1709 | 0.2592 | 0.7408 | 55474 | 6524          | 2589      | 2318       | 0.1385 |
| 0.3082        | 10.0  | 14570 | 0.4705          | 0.1772 | 0.1711 | 0.2598 | 0.7402 | 55441 | 6558          | 2588      | 2296       | 0.1388 |


### Framework versions

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