---
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: 0.1959
- Cer: 12.2188

## 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: 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     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 1.189         | 0.9980  | 488  | 1.2025          | 50.1503 |
| 0.3904        | 1.9959  | 976  | 0.4830          | 26.8916 |
| 0.2027        | 2.9939  | 1464 | 0.3017          | 17.2273 |
| 0.1241        | 3.9918  | 1952 | 0.2566          | 15.3859 |
| 0.0837        | 4.9898  | 2440 | 0.2299          | 14.5098 |
| 0.0558        | 5.9877  | 2928 | 0.2175          | 13.6302 |
| 0.0365        | 6.9857  | 3416 | 0.2119          | 13.6151 |
| 0.0266        | 7.9836  | 3904 | 0.2052          | 13.6059 |
| 0.0197        | 8.9816  | 4392 | 0.1990          | 11.9877 |
| 0.0131        | 9.9796  | 4880 | 0.1982          | 12.7887 |
| 0.0082        | 10.9775 | 5368 | 0.1987          | 12.5864 |
| 0.006         | 11.9755 | 5856 | 0.1985          | 13.6336 |
| 0.0046        | 12.9734 | 6344 | 0.1971          | 13.0037 |
| 0.0035        | 13.9714 | 6832 | 0.1945          | 12.7390 |
| 0.0034        | 14.9693 | 7320 | 0.1966          | 12.7135 |
| 0.0026        | 15.9673 | 7808 | 0.1954          | 12.6477 |
| 0.0022        | 16.9652 | 8296 | 0.1958          | 12.5922 |
| 0.0021        | 17.9632 | 8784 | 0.1957          | 11.5970 |
| 0.0019        | 18.9611 | 9272 | 0.1959          | 12.0061 |
| 0.0018        | 19.9591 | 9760 | 0.1959          | 12.2188 |


### Framework versions

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