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whisper-small-ml
Gbssreejith/whisper-small-ml
whisper-small-ml is a automatic speech recognition model from Gbssreejith. 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 13, 2024
- Updated
- Jul 14, 2024
- SHA
- 262787fa
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 ml
This model is a fine-tuned version of openai/whisper-small on the malayalam speech dataset. It achieves the following results on the evaluation set:
- Loss: 0.0355
- Wer: 36.5156
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
- lr_scheduler_warmup_steps: 1000
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0147 | 2.1716 | 2000 | 0.0248 | 43.0349 |
| 0.0051 | 4.3431 | 4000 | 0.0258 | 38.2522 |
| 0.0011 | 6.5147 | 6000 | 0.0317 | 37.6022 |
| 0.0009 | 8.6862 | 8000 | 0.0355 | 36.5156 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ml
- Created
- Jul 13, 2024
- Updated
- Jul 14, 2024