---
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: []
metrics:
- cer
---

<!-- 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: 0.1729
- Cer: 10.2307

## 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: 1521
- training_steps: 15210
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Cer     |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 0.2476        | 0.9993 | 1521  | 0.4437          | 23.6551 |
| 0.0892        | 1.9987 | 3042  | 0.2482          | 14.6693 |
| 0.0543        | 2.9980 | 4563  | 0.2007          | 11.1774 |
| 0.0361        | 3.9974 | 6084  | 0.1847          | 12.4939 |
| 0.0235        | 4.9967 | 7605  | 0.1791          | 10.5405 |
| 0.0157        | 5.9961 | 9126  | 0.1727          | 10.9000 |
| 0.0121        | 6.9954 | 10647 | 0.1724          | 11.1554 |
| 0.0082        | 7.9947 | 12168 | 0.1720          | 10.3694 |
| 0.0059        | 8.9941 | 13689 | 0.1732          | 10.4053 |
| 0.0049        | 9.9934 | 15210 | 0.1729          | 10.2307 |


### Framework versions

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