---
language:
- zh
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper tiny epoch test - Perrie
  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 epoch test - Perrie

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4754
- Cer: 57.5895

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 700
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4064        | 0.99  | 700  | 0.4476          | 33.9306 |
| 0.3595        | 1.99  | 1400 | 0.4218          | 29.0735 |
| 0.2349        | 2.98  | 2100 | 0.4197          | 25.9553 |
| 0.1507        | 3.97  | 2800 | 0.4237          | 25.9104 |
| 0.1003        | 4.96  | 3500 | 0.4309          | 35.9495 |
| 0.0601        | 5.96  | 4200 | 0.4442          | 29.8821 |
| 0.0481        | 6.95  | 4900 | 0.4551          | 36.7132 |
| 0.0296        | 7.94  | 5600 | 0.4640          | 38.9224 |
| 0.0207        | 8.94  | 6300 | 0.4721          | 47.1645 |
| 0.0169        | 9.93  | 7000 | 0.4754          | 57.5895 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 1.12.1
- Datasets 2.14.6
- Tokenizers 0.14.1