---
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 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. -->

# 

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/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