metadata
license: apache-2.0
base_model: rinna/japanese-hubert-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-rinnna-jp-jdrtsp-fw07sp-12
results: []
hubert-rinnna-jp-jdrtsp-fw07sp-12
This model is a fine-tuned version of rinna/japanese-hubert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1989
- Wer: 0.6801
- Cer: 0.5794
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 5.0318 | 1.0 | 404 | 4.2999 | 0.9798 | 0.9889 |
| 3.5113 | 2.0 | 808 | 3.3289 | 0.9798 | 0.9889 |
| 2.7536 | 3.0 | 1212 | 2.7007 | 0.9798 | 0.9889 |
| 2.4826 | 4.0 | 1616 | 2.3732 | 0.9798 | 0.9889 |
| 2.0642 | 5.0 | 2020 | 1.9165 | 0.9798 | 0.9888 |
| 1.834 | 6.0 | 2424 | 1.6739 | 0.9504 | 0.9464 |
| 1.6869 | 7.0 | 2828 | 1.4651 | 0.8239 | 0.7865 |
| 1.5734 | 8.0 | 3232 | 1.3267 | 0.7440 | 0.6939 |
| 1.5052 | 9.0 | 3636 | 1.2331 | 0.7045 | 0.6231 |
| 1.4573 | 10.0 | 4040 | 1.1989 | 0.6801 | 0.5794 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3