---
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: 1.3270
- Cer: 42.0122

## 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: 8000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8931        | 1.52  | 1000 | 1.0926          | 48.9439 |
| 0.3041        | 3.03  | 2000 | 1.1069          | 49.5474 |
| 0.1319        | 4.55  | 3000 | 1.1925          | 45.4016 |
| 0.0324        | 6.06  | 4000 | 1.2592          | 44.3186 |
| 0.0245        | 7.58  | 5000 | 1.3014          | 44.2359 |
| 0.0061        | 9.09  | 6000 | 1.3185          | 43.3472 |
| 0.0031        | 10.61 | 7000 | 1.3266          | 42.2767 |
| 0.0007        | 12.12 | 8000 | 1.3270          | 42.0122 |


### Framework versions

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