---
language:
- zh
license: apache-2.0
tags:
- generated_from_trainer
base_model: openai/whisper-tiny
datasets:
- mozilla-foundation/common_voice_16_1
model-index:
- name: Whisper Tiny chinese - VingeNie
  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 Tiny chinese - VingeNie

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2238
- Cer Ortho: 12.1911
- Cer: 9.6411

## 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: 64
- 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: 200
- training_steps: 2400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer Ortho | Cer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.3743        | 0.4762 | 400  | 0.3739          | 24.9883   | 15.7515 |
| 0.3062        | 0.9524 | 800  | 0.3034          | 17.2255   | 12.8821 |
| 0.2075        | 1.4286 | 1200 | 0.2715          | 14.9716   | 11.5961 |
| 0.1894        | 1.9048 | 1600 | 0.2445          | 13.9330   | 10.5500 |
| 0.1222        | 2.3810 | 2000 | 0.2330          | 12.5011   | 9.9106  |
| 0.1125        | 2.8571 | 2400 | 0.2238          | 12.1911   | 9.6411  |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1