---
language:
- zh
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- cer-char
- cer-rome
model-index:
- name: Whisper medium nan-tw
  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: train
      args: nan-tw
    metrics:
    - name: Cer-char
      type: cer
      value: 45.038167938931295
    - name: Cer-rome
      type: cer
      value: 31.56572704437622
---

<!-- 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

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: 0.9100
- Wer: 42.0709
- Cer: 22.3681

## 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: 8
- eval_batch_size: 8
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.0568        | 5.0   | 1000 | 0.7769          | 48.2706 | 26.0890 |
| 0.0057        | 10.0  | 2000 | 0.8438          | 44.0722 | 23.9270 |
| 0.0041        | 15.01 | 3000 | 0.8740          | 42.8540 | 22.9554 |
| 0.0001        | 20.01 | 4000 | 0.9041          | 42.1797 | 22.5496 |
| 0.0001        | 25.01 | 5000 | 0.9100          | 42.0709 | 22.3681 |


### Framework versions

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