---
language:
- yue
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper medium 12
  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 medium 12

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 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8225
- Cer: 29.3991

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 12000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0214        | 12.05 | 2000  | 0.7735          | 57.5787 |
| 0.0107        | 24.1  | 4000  | 0.8499          | 41.2738 |
| 0.0013        | 36.14 | 6000  | 0.8238          | 31.5901 |
| 0.0023        | 48.19 | 8000  | 0.8371          | 30.6105 |
| 0.0           | 60.24 | 10000 | 0.8209          | 29.4550 |
| 0.0           | 72.29 | 12000 | 0.8225          | 29.3991 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3