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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: 0.1845
- Cer: 9.7476
## 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 |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.2444 | 0.9980 | 488 | 0.3550 | 25.2919 |
| 0.1293 | 1.9959 | 976 | 0.3005 | 32.6282 |
| 0.0835 | 2.9939 | 1464 | 0.2549 | 15.8437 |
| 0.0429 | 3.9918 | 1952 | 0.2720 | 23.6551 |
| 0.0279 | 4.9898 | 2440 | 0.2567 | 17.1440 |
| 0.0177 | 5.9877 | 2928 | 0.2180 | 13.6903 |
| 0.0103 | 6.9857 | 3416 | 0.2410 | 14.9398 |
| 0.007 | 7.9836 | 3904 | 0.2333 | 12.8846 |
| 0.0052 | 8.9816 | 4392 | 0.2008 | 12.4708 |
| 0.004 | 9.9796 | 4880 | 0.2393 | 12.1957 |
| 0.0023 | 10.9775 | 5368 | 0.2057 | 12.9829 |
| 0.0021 | 11.9755 | 5856 | 0.2098 | 12.4096 |
| 0.0014 | 12.9734 | 6344 | 0.1898 | 14.2208 |
| 0.001 | 13.9714 | 6832 | 0.2006 | 10.6954 |
| 0.0012 | 14.9693 | 7320 | 0.1941 | 13.2117 |
| 0.0005 | 15.9673 | 7808 | 0.1864 | 11.2548 |
| 0.0005 | 16.9652 | 8296 | 0.1887 | 10.7012 |
| 0.0001 | 17.9632 | 8784 | 0.1830 | 10.1197 |
| 0.0001 | 18.9611 | 9272 | 0.1863 | 9.8146 |
| 0.0001 | 19.9591 | 9760 | 0.1845 | 9.7476 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|