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whisper-small-hi
Mridul2003/whisper-small-hi
whisper-small-hi is a automatic speech recognition model from Mridul2003. 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
- Jul 8, 2024
- Updated
- Jul 12, 2024
- SHA
- ccbe9635
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-hi
This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3836
- Wer: 44.0405
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: 5
- 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: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5645 | 0.0765 | 100 | 0.6108 | 61.0133 |
| 0.427 | 0.1529 | 200 | 0.4883 | 52.0486 |
| 0.352 | 0.2294 | 300 | 0.4314 | 47.7525 |
| 0.2834 | 0.3058 | 400 | 0.4206 | 47.7694 |
| 0.2925 | 0.3823 | 500 | 0.3836 | 44.0405 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 8, 2024
- Updated
- Jul 12, 2024