---
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: 0.1845
- Cer: 9.7476

## 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: 976
- training_steps: 9760
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.2444        | 0.9980  | 488  | 0.3550          | 25.2919 |
| 0.1293        | 1.9959  | 976  | 0.3005          | 32.6282 |
| 0.0835        | 2.9939  | 1464 | 0.2549          | 15.8437 |
| 0.0429        | 3.9918  | 1952 | 0.2720          | 23.6551 |
| 0.0279        | 4.9898  | 2440 | 0.2567          | 17.1440 |
| 0.0177        | 5.9877  | 2928 | 0.2180          | 13.6903 |
| 0.0103        | 6.9857  | 3416 | 0.2410          | 14.9398 |
| 0.007         | 7.9836  | 3904 | 0.2333          | 12.8846 |
| 0.0052        | 8.9816  | 4392 | 0.2008          | 12.4708 |
| 0.004         | 9.9796  | 4880 | 0.2393          | 12.1957 |
| 0.0023        | 10.9775 | 5368 | 0.2057          | 12.9829 |
| 0.0021        | 11.9755 | 5856 | 0.2098          | 12.4096 |
| 0.0014        | 12.9734 | 6344 | 0.1898          | 14.2208 |
| 0.001         | 13.9714 | 6832 | 0.2006          | 10.6954 |
| 0.0012        | 14.9693 | 7320 | 0.1941          | 13.2117 |
| 0.0005        | 15.9673 | 7808 | 0.1864          | 11.2548 |
| 0.0005        | 16.9652 | 8296 | 0.1887          | 10.7012 |
| 0.0001        | 17.9632 | 8784 | 0.1830          | 10.1197 |
| 0.0001        | 18.9611 | 9272 | 0.1863          | 9.8146  |
| 0.0001        | 19.9591 | 9760 | 0.1845          | 9.7476  |


### Framework versions

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