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whisper-base-tr
beratcmn/whisper-base-tr
whisper-base-tr is a automatic speech recognition model from beratcmn. 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
- Nov 4, 2023
- Updated
- Nov 5, 2023
- SHA
- 6d189b40
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. -->
Whisper Base TR
This model is a fine-tuned version of openai/whisper-base on the Common Voice 13 Turkish 30% dataset. It achieves the following results on the evaluation set:
- Loss: 0.4968
- Wer: 41.2122
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3817 | 0.5 | 33 | 0.5206 | 42.0632 |
| 0.2896 | 1.0 | 66 | 0.5182 | 44.3036 |
| 0.4421 | 1.5 | 99 | 0.5153 | 43.3137 |
| 0.187 | 2.0 | 132 | 0.5079 | 42.1501 |
| 0.2459 | 2.5 | 165 | 0.5001 | 41.7506 |
| 0.2297 | 3.0 | 198 | 0.4968 | 41.2122 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- tr
- Created
- Nov 4, 2023
- Updated
- Nov 5, 2023