---
language:
- zh
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- formospeech/hat_asr_aligned
model-index:
- name: Whisper Tiny Hakka Simulated Webcam
  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 Hakka Simulated Webcam

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1402
- Cer: 8.5108

## 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: 488
- training_steps: 4880
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.2096        | 0.9980 | 488  | 0.3010          | 27.0939 |
| 0.1035        | 1.9959 | 976  | 0.2198          | 18.4063 |
| 0.0491        | 2.9939 | 1464 | 0.1966          | 12.8661 |
| 0.0261        | 3.9918 | 1952 | 0.1766          | 14.3364 |
| 0.0117        | 4.9898 | 2440 | 0.1576          | 10.6133 |
| 0.0045        | 5.9877 | 2928 | 0.1425          | 11.8732 |
| 0.0014        | 6.9857 | 3416 | 0.1471          | 9.7591  |
| 0.0006        | 7.9836 | 3904 | 0.1413          | 8.8356  |
| 0.0005        | 8.9816 | 4392 | 0.1413          | 8.6079  |
| 0.0003        | 9.9796 | 4880 | 0.1402          | 8.5108  |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1