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---
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: 0.1323
- Cer: 7.3156
## 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 |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.2495 | 0.9980 | 488 | 0.3384 | 23.3014 |
| 0.1352 | 1.9959 | 976 | 0.2472 | 16.6320 |
| 0.0854 | 2.9939 | 1464 | 0.2133 | 16.6389 |
| 0.0447 | 3.9918 | 1952 | 0.1956 | 22.4831 |
| 0.0282 | 4.9898 | 2440 | 0.1921 | 12.4096 |
| 0.0167 | 5.9877 | 2928 | 0.1670 | 10.9682 |
| 0.0115 | 6.9857 | 3416 | 0.1833 | 10.5590 |
| 0.0078 | 7.9836 | 3904 | 0.1591 | 9.6204 |
| 0.0057 | 8.9816 | 4392 | 0.1568 | 10.5324 |
| 0.0037 | 9.9796 | 4880 | 0.1684 | 10.1371 |
| 0.0036 | 10.9775 | 5368 | 0.1626 | 10.8352 |
| 0.0015 | 11.9755 | 5856 | 0.1451 | 10.4226 |
| 0.0016 | 12.9734 | 6344 | 0.1562 | 10.2099 |
| 0.0007 | 13.9714 | 6832 | 0.1575 | 8.7731 |
| 0.0004 | 14.9693 | 7320 | 0.1395 | 9.8597 |
| 0.0006 | 15.9673 | 7808 | 0.1421 | 8.3316 |
| 0.0003 | 16.9652 | 8296 | 0.1345 | 7.5433 |
| 0.0001 | 17.9632 | 8784 | 0.1322 | 7.8692 |
| 0.0001 | 18.9611 | 9272 | 0.1326 | 7.3630 |
| 0.0001 | 19.9591 | 9760 | 0.1323 | 7.3156 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|