metadata
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: []
Whisper Tiny Hakka Simulated Webcam
This model is a fine-tuned version of openai/whisper-tiny on the HAT ASR Aligned dataset. It achieves the following results on the evaluation set:
- Loss: 0.1319
- Cer: 7.3572
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: 488
- training_steps: 4880
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2061 | 0.9980 | 488 | 0.3095 | 30.6829 |
| 0.1014 | 1.9959 | 976 | 0.2149 | 16.2991 |
| 0.0486 | 2.9939 | 1464 | 0.1858 | 15.3582 |
| 0.0243 | 3.9918 | 1952 | 0.1723 | 14.7074 |
| 0.0115 | 4.9898 | 2440 | 0.1626 | 12.7598 |
| 0.0046 | 5.9877 | 2928 | 0.1542 | 9.6054 |
| 0.0016 | 6.9857 | 3416 | 0.1437 | 8.7997 |
| 0.0006 | 7.9836 | 3904 | 0.1355 | 9.0378 |
| 0.0004 | 8.9816 | 4392 | 0.1315 | 7.8473 |
| 0.0004 | 9.9796 | 4880 | 0.1319 | 7.3572 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1