---
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: 0.1428
- Cer: 9.1488

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.2406        | 0.9980  | 488  | 0.3252          | 23.5719 |
| 0.1309        | 1.9959  | 976  | 0.2390          | 24.1302 |
| 0.0836        | 2.9939  | 1464 | 0.2087          | 16.4008 |
| 0.0431        | 3.9918  | 1952 | 0.1886          | 18.9368 |
| 0.027         | 4.9898  | 2440 | 0.1932          | 12.6823 |
| 0.0173        | 5.9877  | 2928 | 0.1937          | 11.5218 |
| 0.0098        | 6.9857  | 3416 | 0.1835          | 9.9163  |
| 0.0094        | 7.9836  | 3904 | 0.1782          | 13.6325 |
| 0.0057        | 8.9816  | 4392 | 0.1806          | 14.1642 |
| 0.0051        | 9.9796  | 4880 | 0.1627          | 10.9358 |
| 0.0023        | 10.9775 | 5368 | 0.1680          | 9.8724  |
| 0.0025        | 11.9755 | 5856 | 0.1682          | 14.1179 |
| 0.0007        | 12.9734 | 6344 | 0.1537          | 9.5638  |
| 0.0007        | 13.9714 | 6832 | 0.1586          | 9.7637  |
| 0.0003        | 14.9693 | 7320 | 0.1432          | 8.6807  |
| 0.0001        | 15.9673 | 7808 | 0.1463          | 8.6865  |
| 0.0001        | 16.9652 | 8296 | 0.1445          | 8.1883  |
| 0.0001        | 17.9632 | 8784 | 0.1443          | 8.6044  |
| 0.0001        | 18.9611 | 9272 | 0.1427          | 8.9731  |
| 0.0001        | 19.9591 | 9760 | 0.1428          | 9.1488  |


### Framework versions

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