Downloads · 30 days
31
40% of all-time downloads
whisper-small-cv-tr
Sercan/whisper-small-cv-tr
whisper-small-cv-tr is a automatic speech recognition model from Sercan. 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
77
Public
Repo size
8.7 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jan 29, 2023
- Updated
- Jan 30, 2023
- SHA
- ab0860a6
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 Turkish
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 tr dataset. It achieves the following results on the evaluation set:
- Loss: 0.2860
- Wer: 16.3181
- Cer: 4.1450
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.1563 | 1.0 | 2500 | 0.2524 | 19.8570 | 5.1738 |
| 0.032 | 2.01 | 5000 | 0.2567 | 18.5627 | 4.7793 |
| 0.013 | 3.01 | 7500 | 0.2637 | 17.7723 | 4.6664 |
| 0.0057 | 4.02 | 10000 | 0.2703 | 17.0596 | 4.3662 |
| 0.0012 | 5.02 | 12500 | 0.2696 | 17.8322 | 5.2286 |
| 0.003 | 6.03 | 15000 | 0.2800 | 16.7200 | 4.2972 |
| 0.0003 | 7.03 | 17500 | 0.2834 | 16.4091 | 4.2018 |
| 0.0002 | 8.04 | 20000 | 0.2860 | 16.3181 | 4.1450 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- tr
- Created
- Jan 29, 2023
- Updated
- Jan 30, 2023