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android_loss_CH_0.5_emb-whisper-tiny
jethrowang/android_loss_CH_0.5_emb-whisper-tiny
android_loss_CH_0.5_emb-whisper-tiny is a machine learning model from jethrowang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 4, 2024
- Updated
- Sep 5, 2024
- SHA
- a37be6bf
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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 Taiwanese Simulated Android
This model is a fine-tuned version of openai/whisper-tiny on the TAT ASR Aligned dataset. It achieves the following results on the evaluation set:
- Loss: 0.7416
- Cer: 11.5605
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: 1362
- training_steps: 13620
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.395 | 0.9985 | 681 | 0.4720 | 20.0872 |
| 0.278 | 1.9971 | 1362 | 0.4360 | 15.0426 |
| 0.1826 | 2.9956 | 2043 | 0.4391 | 14.4518 |
| 0.1179 | 3.9941 | 2724 | 0.4633 | 14.0327 |
| 0.0738 | 4.9927 | 3405 | 0.4930 | 12.9611 |
| 0.0491 | 5.9912 | 4086 | 0.5340 | 13.3159 |
| 0.0352 | 6.9897 | 4767 | 0.5716 | 13.2433 |
| 0.0238 | 7.9883 | 5448 | 0.6001 | 12.9938 |
| 0.0175 | 8.9868 | 6129 | 0.6153 | 12.7738 |
| 0.0123 | 9.9853 | 6810 | 0.6434 | 12.8122 |
| 0.0098 | 10.9839 | 7491 | 0.6496 | 12.6103 |
| 0.006 | 11.9824 | 8172 | 0.6643 | 12.5145 |
| 0.0037 | 12.9809 | 8853 | 0.6877 | 12.3994 |
| 0.0024 | 13.9795 | 9534 | 0.7057 | 12.2726 |
| 0.0017 | 14.9780 | 10215 | 0.7134 | 11.9908 |
| 0.0007 | 15.9765 | 10896 | 0.7194 | 11.8031 |
| 0.0004 | 16.9751 | 11577 | 0.7303 | 11.6993 |
| 0.0001 | 17.9736 | 12258 | 0.7350 | 11.6502 |
| 0.0003 | 18.9721 | 12939 | 0.7383 | 11.5326 |
| 0.0001 | 19.9707 | 13620 | 0.7416 | 11.5605 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- zh
- Created
- Sep 4, 2024
- Updated
- Sep 5, 2024