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webcam_loss_CH_0.2_emb-whisper-tiny
jethrowang/webcam_loss_CH_0.2_emb-whisper-tiny
webcam_loss_CH_0.2_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
- Aug 26, 2024
- Updated
- Aug 27, 2024
- SHA
- c137e7ff
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 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: 0.1485
- Cer: 9.8655
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 |
|---|---|---|---|---|
| 0.2194 | 0.9980 | 488 | 0.3440 | 23.2448 |
| 0.1223 | 1.9959 | 976 | 0.2657 | 17.5914 |
| 0.0757 | 2.9939 | 1464 | 0.2101 | 14.1260 |
| 0.0421 | 3.9918 | 1952 | 0.2134 | 21.8647 |
| 0.026 | 4.9898 | 2440 | 0.1855 | 13.0384 |
| 0.0149 | 5.9877 | 2928 | 0.2038 | 17.5579 |
| 0.0089 | 6.9857 | 3416 | 0.1944 | 12.3148 |
| 0.007 | 7.9836 | 3904 | 0.1885 | 13.8983 |
| 0.0065 | 8.9816 | 4392 | 0.1778 | 12.3136 |
| 0.0041 | 9.9796 | 4880 | 0.1649 | 15.9096 |
| 0.0026 | 10.9775 | 5368 | 0.1737 | 10.8930 |
| 0.0021 | 11.9755 | 5856 | 0.1648 | 12.6361 |
| 0.0011 | 12.9734 | 6344 | 0.1535 | 9.9903 |
| 0.0009 | 13.9714 | 6832 | 0.1586 | 11.9807 |
| 0.0008 | 14.9693 | 7320 | 0.1550 | 9.0332 |
| 0.0005 | 15.9673 | 7808 | 0.1535 | 8.8702 |
| 0.0003 | 16.9652 | 8296 | 0.1527 | 9.6019 |
| 0.0002 | 17.9632 | 8784 | 0.1501 | 9.7741 |
| 0.0001 | 18.9611 | 9272 | 0.1487 | 9.4043 |
| 0.0001 | 19.9591 | 9760 | 0.1485 | 9.8655 |
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
- Aug 26, 2024
- Updated
- Aug 27, 2024