---
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: 1.0204
- Cer Ortho: 48.2903
- Cer: 37.8890

## 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-06
- 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: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer Ortho | Cer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 2.027         | 0.1088 | 100  | 1.8566          | 58.8395   | 45.4613 |
| 1.0547        | 0.2176 | 200  | 1.0853          | 50.8309   | 39.8595 |
| 1.0003        | 0.3264 | 300  | 1.0360          | 47.7982   | 38.6397 |
| 0.9744        | 0.4353 | 400  | 1.0224          | 48.7018   | 38.0597 |
| 0.9318        | 0.5441 | 500  | 1.0204          | 48.2903   | 37.8890 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1