---
language:
- zh
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper medium nan-tw only char
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0 nan-tw
      type: mozilla-foundation/common_voice_11_0
      config: nan-tw
      split: test
      args: nan-tw
    metrics:
    - name: Wer
      type: wer
      value: 45.2824427480916
---

<!-- 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 medium nan-tw only char

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 nan-tw dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9944
- Wer: 45.2824
- Cer: 45.3667

## 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: 2
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.5832        | 1.04  | 1000 | 1.0634          | 56.3053 | 56.4745 |
| 0.1467        | 2.08  | 2000 | 1.0407          | 50.9618 | 51.0112 |
| 0.016         | 3.13  | 3000 | 1.0226          | 46.4427 | 46.5137 |
| 0.0001        | 5.01  | 4000 | 0.9974          | 45.4656 | 45.6082 |
| 0.0001        | 6.05  | 5000 | 0.9944          | 45.2824 | 45.3667 |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2