---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- te_dx_jp
model-index:
- name: t5-base-TEDxJP-6front-1body-6rear
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-base-TEDxJP-6front-1body-6rear

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: 0.4394
- Wer: 0.1715
- Mer: 0.1655
- Wil: 0.2514
- Wip: 0.7486
- Hits: 55840
- Substitutions: 6324
- Deletions: 2423
- Insertions: 2327
- Cer: 0.1370

## 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: 30
- 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
| 0.5934        | 1.0   | 1457  | 0.4618          | 0.2350 | 0.2167 | 0.3040 | 0.6960 | 54861 | 6643          | 3083      | 5449       | 0.2143 |
| 0.5143        | 2.0   | 2914  | 0.4200          | 0.1809 | 0.1738 | 0.2621 | 0.7379 | 55519 | 6548          | 2520      | 2613       | 0.1457 |
| 0.4671        | 3.0   | 4371  | 0.4138          | 0.1726 | 0.1669 | 0.2535 | 0.7465 | 55651 | 6368          | 2568      | 2212       | 0.1349 |
| 0.4044        | 4.0   | 5828  | 0.4077          | 0.1708 | 0.1653 | 0.2518 | 0.7482 | 55708 | 6359          | 2520      | 2155       | 0.1371 |
| 0.398         | 5.0   | 7285  | 0.4140          | 0.1691 | 0.1638 | 0.2496 | 0.7504 | 55749 | 6294          | 2544      | 2083       | 0.1329 |
| 0.3394        | 6.0   | 8742  | 0.4190          | 0.1701 | 0.1645 | 0.2511 | 0.7489 | 55822 | 6375          | 2390      | 2224       | 0.1348 |
| 0.3009        | 7.0   | 10199 | 0.4264          | 0.1720 | 0.1659 | 0.2519 | 0.7481 | 55861 | 6341          | 2385      | 2381       | 0.1369 |
| 0.273         | 8.0   | 11656 | 0.4307          | 0.1703 | 0.1647 | 0.2509 | 0.7491 | 55772 | 6337          | 2478      | 2184       | 0.1352 |
| 0.2939        | 9.0   | 13113 | 0.4350          | 0.1697 | 0.1640 | 0.2499 | 0.7501 | 55843 | 6313          | 2431      | 2214       | 0.1353 |
| 0.2747        | 10.0  | 14570 | 0.4394          | 0.1715 | 0.1655 | 0.2514 | 0.7486 | 55840 | 6324          | 2423      | 2327       | 0.1370 |


### Framework versions

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