---
language:
- yue
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Base Jyutping without Tones Full Version
  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. -->

# Whisper Base Jyutping without Tones Full Version

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co./openai/whisper-base) on the Common Voice 14.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0907
- Wer: 9.6974

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- training_steps: 2400

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1293        | 0.18  | 800  | 0.1361          | 13.7307 |
| 0.1034        | 0.35  | 1600 | 0.1022          | 10.5049 |
| 0.0897        | 0.53  | 2400 | 0.0907          | 9.6974  |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3