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---
tags:
- generated_from_trainer
datasets:
- common_voice
metrics:
- wer
model-index:
- name: wavlm-base-plus_zh_tw_ver2
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: common_voice
type: common_voice
config: zh-TW
split: test
args: zh-TW
metrics:
- name: Wer
type: wer
value: 1.0
---
<!-- 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. -->
# wavlm-base-plus_zh_tw_ver2
This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 6.5278
- Wer: 1.0
## 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: 7.5e-05
- train_batch_size: 32
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 100.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:---:|
| 82.628 | 2.5 | 500 | 79.5587 | 1.0 |
| 17.5635 | 5.0 | 1000 | 11.5929 | 1.0 |
| 6.4288 | 7.5 | 1500 | 6.4475 | 1.0 |
| 6.4092 | 10.0 | 2000 | 6.4579 | 1.0 |
| 6.3982 | 12.5 | 2500 | 6.4662 | 1.0 |
| 6.391 | 15.0 | 3000 | 6.4655 | 1.0 |
| 6.4097 | 17.5 | 3500 | 6.4691 | 1.0 |
| 6.3986 | 20.0 | 4000 | 6.4702 | 1.0 |
| 6.4069 | 22.5 | 4500 | 6.4761 | 1.0 |
| 6.4158 | 25.0 | 5000 | 6.4750 | 1.0 |
| 6.4117 | 27.5 | 5500 | 6.4816 | 1.0 |
| 6.4086 | 30.0 | 6000 | 6.4806 | 1.0 |
| 6.3992 | 32.5 | 6500 | 6.4872 | 1.0 |
| 6.3946 | 35.0 | 7000 | 6.4866 | 1.0 |
| 6.4212 | 37.5 | 7500 | 6.4895 | 1.0 |
| 6.4051 | 40.0 | 8000 | 6.4926 | 1.0 |
| 6.398 | 42.5 | 8500 | 6.5015 | 1.0 |
| 6.3967 | 45.0 | 9000 | 6.4960 | 1.0 |
| 6.4096 | 47.5 | 9500 | 6.5003 | 1.0 |
| 6.4068 | 50.0 | 10000 | 6.5026 | 1.0 |
| 6.4062 | 52.5 | 10500 | 6.5071 | 1.0 |
| 6.395 | 55.0 | 11000 | 6.5066 | 1.0 |
| 6.4079 | 57.5 | 11500 | 6.5093 | 1.0 |
| 6.411 | 60.0 | 12000 | 6.5106 | 1.0 |
| 6.4023 | 62.5 | 12500 | 6.5112 | 1.0 |
| 6.4053 | 65.0 | 13000 | 6.5143 | 1.0 |
| 6.4103 | 67.5 | 13500 | 6.5172 | 1.0 |
| 6.3899 | 70.0 | 14000 | 6.5182 | 1.0 |
| 6.4054 | 72.5 | 14500 | 6.5197 | 1.0 |
| 6.391 | 75.0 | 15000 | 6.5200 | 1.0 |
| 6.3988 | 77.5 | 15500 | 6.5220 | 1.0 |
| 6.4059 | 80.0 | 16000 | 6.5228 | 1.0 |
| 6.392 | 82.5 | 16500 | 6.5233 | 1.0 |
| 6.3947 | 85.0 | 17000 | 6.5253 | 1.0 |
| 6.3966 | 87.5 | 17500 | 6.5259 | 1.0 |
| 6.3905 | 90.0 | 18000 | 6.5264 | 1.0 |
| 6.4003 | 92.5 | 18500 | 6.5272 | 1.0 |
| 6.3877 | 95.0 | 19000 | 6.5275 | 1.0 |
| 6.3903 | 97.5 | 19500 | 6.5277 | 1.0 |
| 6.3944 | 100.0 | 20000 | 6.5278 | 1.0 |
### Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.12.0+cu102
- Datasets 2.10.1
- Tokenizers 0.13.2
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