---
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 Condenser
  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 Condenser

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: 0.1966
- Cer: 12.4315

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 1.161         | 0.9980  | 488  | 1.1833          | 47.8084 |
| 0.3742        | 1.9959  | 976  | 0.4698          | 25.2364 |
| 0.1966        | 2.9939  | 1464 | 0.3005          | 18.3346 |
| 0.1169        | 3.9918  | 1952 | 0.2523          | 16.0413 |
| 0.0795        | 4.9898  | 2440 | 0.2257          | 13.6440 |
| 0.0525        | 5.9877  | 2928 | 0.2156          | 15.5570 |
| 0.0336        | 6.9857  | 3416 | 0.2102          | 15.5905 |
| 0.0244        | 7.9836  | 3904 | 0.2036          | 12.6638 |
| 0.0182        | 8.9816  | 4392 | 0.1985          | 12.1437 |
| 0.012         | 9.9796  | 4880 | 0.1972          | 11.6501 |
| 0.0075        | 10.9775 | 5368 | 0.1986          | 12.9840 |
| 0.0056        | 11.9755 | 5856 | 0.1959          | 12.5066 |
| 0.0043        | 12.9734 | 6344 | 0.1970          | 12.8881 |
| 0.0034        | 13.9714 | 6832 | 0.1957          | 12.1622 |
| 0.0028        | 14.9693 | 7320 | 0.1971          | 11.5230 |
| 0.0024        | 15.9673 | 7808 | 0.1958          | 12.4280 |
| 0.0021        | 16.9652 | 8296 | 0.1964          | 12.4812 |
| 0.002         | 17.9632 | 8784 | 0.1976          | 12.8650 |
| 0.0018        | 18.9611 | 9272 | 0.1968          | 12.0385 |
| 0.0017        | 19.9591 | 9760 | 0.1966          | 12.4315 |


### Framework versions

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