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whisper-small-chinesemed-free_ED3-11
Hanhpt23/whisper-small-chinesemed-free_ED3-11
whisper-small-chinesemed-free_ED3-11 is a automatic speech recognition model from Hanhpt23. Use it when you need speech turned into text. It is set up for transformers. 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
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jul 15, 2024
- Updated
- Jul 15, 2024
- SHA
- cbbdb641
Base models
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. -->
openai/whisper-small
This model is a fine-tuned version of openai/whisper-small on the pphuc25/ChiMed dataset. It achieves the following results on the evaluation set:
- Loss: 0.9508
- Wer: 170.3340
- Cer: 95.3654
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.5247 | 1.0 | 161 | 0.7107 | 187.2299 | 105.6595 |
| 0.3389 | 2.0 | 322 | 0.6834 | 225.9332 | 70.5882 |
| 0.2239 | 3.0 | 483 | 0.6913 | 213.7525 | 69.2736 |
| 0.1151 | 4.0 | 644 | 0.7414 | 246.9548 | 117.2460 |
| 0.0777 | 5.0 | 805 | 0.8040 | 221.2181 | 110.5169 |
| 0.037 | 6.0 | 966 | 0.8081 | 236.9352 | 87.0098 |
| 0.0228 | 7.0 | 1127 | 0.8673 | 132.8094 | 53.7433 |
| 0.0155 | 8.0 | 1288 | 0.9148 | 135.7564 | 42.8253 |
| 0.0086 | 9.0 | 1449 | 0.8912 | 183.1041 | 71.5463 |
| 0.0053 | 10.0 | 1610 | 0.9049 | 169.1552 | 102.2950 |
| 0.0034 | 11.0 | 1771 | 0.8989 | 203.7328 | 99.2424 |
| 0.0027 | 12.0 | 1932 | 0.9066 | 166.4047 | 92.2460 |
| 0.0016 | 13.0 | 2093 | 0.9231 | 250.6876 | 123.8191 |
| 0.0027 | 14.0 | 2254 | 0.9342 | 207.4656 | 107.6203 |
| 0.0011 | 15.0 | 2415 | 0.9385 | 208.2515 | 103.7433 |
| 0.0011 | 16.0 | 2576 | 0.9434 | 212.5737 | 104.7014 |
| 0.001 | 17.0 | 2737 | 0.9462 | 211.7878 | 104.5455 |
| 0.0009 | 18.0 | 2898 | 0.9487 | 169.9411 | 95.2094 |
| 0.0008 | 19.0 | 3059 | 0.9502 | 169.9411 | 95.2763 |
| 0.0008 | 20.0 | 3220 | 0.9508 | 170.3340 | 95.3654 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- zh
- Created
- Jul 15, 2024
- Updated
- Jul 15, 2024