Downloads · 30 days
5
0% of all-time downloads
whisper-small-multimed
Hanhpt23/whisper-small-multimed
whisper-small-multimed 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. --
All-time downloads
1.7K
Public
Parameters
242M
27.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jul 21, 2024
- Updated
- Aug 2, 2024
- SHA
- 38f80530
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 Hanhpt23/MultiMed dataset. It achieves the following results on the evaluation set:
- Loss: 1.2205
- Wer: 20.9109
- Cer: 14.5195
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 |
|---|---|---|---|---|---|
| 0.6311 | 1.0 | 4626 | 0.7523 | 29.1582 | 21.4782 |
| 0.4966 | 2.0 | 9252 | 0.7386 | 30.4497 | 22.0004 |
| 0.2482 | 3.0 | 13878 | 0.7919 | 24.2525 | 17.3460 |
| 0.1989 | 4.0 | 18504 | 0.8427 | 25.2392 | 17.5838 |
| 0.1419 | 5.0 | 23130 | 0.9057 | 23.5514 | 16.6085 |
| 0.0828 | 6.0 | 27756 | 0.9730 | 22.8122 | 15.8105 |
| 0.0609 | 7.0 | 32382 | 1.0176 | 22.9715 | 16.0236 |
| 0.0452 | 8.0 | 37008 | 1.0531 | 23.1268 | 16.1591 |
| 0.0354 | 9.0 | 41634 | 1.1008 | 23.0799 | 16.0754 |
| 0.0228 | 10.0 | 46260 | 1.1070 | 22.0164 | 15.3787 |
| 0.02 | 11.0 | 50886 | 1.1342 | 22.4321 | 15.5082 |
| 0.0126 | 12.0 | 55512 | 1.1520 | 22.0949 | 15.3324 |
| 0.0062 | 13.0 | 60138 | 1.1820 | 22.0076 | 15.3419 |
| 0.0045 | 14.0 | 64764 | 1.1860 | 21.7019 | 15.1221 |
| 0.0025 | 15.0 | 69390 | 1.2004 | 21.2894 | 14.7874 |
| 0.0058 | 16.0 | 74016 | 1.1949 | 21.6711 | 15.1412 |
| 0.0005 | 17.0 | 78642 | 1.1967 | 21.4148 | 14.8903 |
| 0.0001 | 18.0 | 83268 | 1.2102 | 21.1438 | 14.6915 |
| 0.0001 | 19.0 | 87894 | 1.2192 | 21.0654 | 14.6546 |
| 0.0001 | 20.0 | 92520 | 1.2205 | 20.9109 | 14.5195 |
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
- Created
- Jul 21, 2024
- Updated
- Aug 2, 2024