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whisper-small-ar
EmanElgallad/whisper-small-ar
whisper-small-ar is a automatic speech recognition model from EmanElgallad. 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 29, 2022
- Updated
- Dec 30, 2022
- SHA
- 589daa25
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 arb - GP
This model is a fine-tuned version of openai/whisper-small on the Dialect Arabic dataset. It achieves the following results on the evaluation set:
- Loss: 2.1489
- Wer: 110.7984
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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.9933 | 1.89 | 1000 | 2.0970 | 125.2555 |
| 1.3119 | 3.79 | 2000 | 1.9818 | 113.1290 |
| 0.7643 | 5.68 | 3000 | 2.0559 | 115.4176 |
| 0.5144 | 7.58 | 4000 | 2.1489 | 110.7984 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Dec 29, 2022
- Updated
- Dec 30, 2022