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whisper-small-ko-Y_freq_speed-SA
Gummybear05/whisper-small-ko-Y_freq_speed-SA
whisper-small-ko-Y_freq_speed-SA is a automatic speech recognition model from Gummybear05. 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
- Dec 21, 2023
- Updated
- Dec 21, 2023
- SHA
- 28defb2d
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-small-ko-Y_freq_speed-SA
This model is a fine-tuned version of openai/whisper-small on the aihub Y dialogue dataset. It achieves the following results on the evaluation set:
- Loss: 0.2816
- Cer: 8.0005
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.6525 | 0.13 | 100 | 0.3531 | 8.5938 |
| 0.4301 | 0.26 | 200 | 0.2857 | 8.5879 |
| 0.3031 | 0.39 | 300 | 0.3006 | 8.6760 |
| 0.3082 | 0.52 | 400 | 0.2781 | 7.8947 |
| 0.29 | 0.64 | 500 | 0.2854 | 8.2237 |
| 0.2689 | 0.77 | 600 | 0.2839 | 8.1180 |
| 0.2532 | 0.9 | 700 | 0.2868 | 8.2061 |
| 0.1786 | 1.03 | 800 | 0.2843 | 8.6231 |
| 0.1446 | 1.16 | 900 | 0.2839 | 8.3882 |
| 0.157 | 1.29 | 1000 | 0.2855 | 8.2413 |
| 0.1468 | 1.42 | 1100 | 0.2828 | 7.9770 |
| 0.1503 | 1.55 | 1200 | 0.2796 | 8.0710 |
| 0.1464 | 1.68 | 1300 | 0.2800 | 7.9711 |
| 0.1377 | 1.81 | 1400 | 0.2819 | 8.1356 |
| 0.1329 | 1.93 | 1500 | 0.2816 | 8.0005 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- hi
- Created
- Dec 21, 2023
- Updated
- Dec 21, 2023