metadata
language:
- zh-HK
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- zh-HK
- robust-speech-event
datasets:
- common_voice
model-index:
- name: ''
results: []
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - ZH-HK dataset. It achieves the following results on the evaluation set:
- Loss: 2.6726
- Wer: 0.9815
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: 0.0003
- 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: 500
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 183 | 47.8442 | 1.0 |
| No log | 2.0 | 366 | 6.3109 | 1.0 |
| 41.8902 | 3.0 | 549 | 6.2392 | 1.0 |
| 41.8902 | 4.0 | 732 | 5.9739 | 1.1123 |
| 41.8902 | 5.0 | 915 | 4.9014 | 1.9474 |
| 5.5817 | 6.0 | 1098 | 3.9892 | 1.0188 |
| 5.5817 | 7.0 | 1281 | 3.5080 | 1.0104 |
| 5.5817 | 8.0 | 1464 | 3.0797 | 0.9905 |
| 3.5579 | 9.0 | 1647 | 2.8111 | 0.9836 |
| 3.5579 | 10.0 | 1830 | 2.6726 | 0.9815 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0