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whisper-large-v2-arabic
Kn1ght0/whisper-large-v2-arabic
whisper-large-v2-arabic is a automatic speech recognition model from Kn1ght0. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Jul 7, 2024
- Updated
- Jul 22, 2024
- SHA
- a43f2747
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 Small ar - Ali
This model is a fine-tuned version of openai/whisper-largev2 on the Ground truth 1 dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.7677
- eval_wer: 79.7688
- eval_runtime: 12.142
- eval_samples_per_second: 0.824
- eval_steps_per_second: 0.165
- epoch: 14.0
- step: 84
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- hi
- Created
- Jul 7, 2024
- Updated
- Jul 22, 2024