---
language:
- zh
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper base mozilla-foundation/common_voice_11_0 - Huang Jordan
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper base mozilla-foundation/common_voice_11_0 - Huang Jordan

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3159
- Cer: 16.1884

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.3333        | 0.7092 | 500  | 0.3407          | 17.9985 |
| 0.1971        | 1.4184 | 1000 | 0.3216          | 16.2016 |
| 0.1345        | 2.1277 | 1500 | 0.3167          | 15.9690 |
| 0.1181        | 2.8369 | 2000 | 0.3159          | 16.1884 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1