---
language:
- zh-HK
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
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: 40.6968
- 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| No log        | 0.05  | 10   | 239.0014        | 1.0 |
| No log        | 0.1   | 20   | 235.8207        | 1.0 |
| No log        | 0.15  | 30   | 226.9009        | 1.0 |
| No log        | 0.21  | 40   | 198.0769        | 1.0 |
| No log        | 0.26  | 50   | 166.6728        | 1.0 |
| No log        | 0.31  | 60   | 149.1445        | 1.0 |
| No log        | 0.36  | 70   | 138.4403        | 1.0 |
| No log        | 0.41  | 80   | 131.7249        | 1.0 |
| No log        | 0.46  | 90   | 125.5583        | 1.0 |
| No log        | 0.51  | 100  | 119.7515        | 1.0 |
| No log        | 0.56  | 110  | 113.7283        | 1.0 |
| No log        | 0.62  | 120  | 107.2455        | 1.0 |
| No log        | 0.67  | 130  | 100.2172        | 1.0 |
| No log        | 0.72  | 140  | 92.5585         | 1.0 |
| No log        | 0.77  | 150  | 84.2573         | 1.0 |
| No log        | 0.82  | 160  | 75.2953         | 1.0 |
| No log        | 0.87  | 170  | 65.6953         | 1.0 |
| No log        | 0.92  | 180  | 55.7544         | 1.0 |
| No log        | 0.97  | 190  | 45.7297         | 1.0 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0