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whisper-small-ml
parambharat/whisper-small-ml
whisper-small-ml is a automatic speech recognition model from parambharat. 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 11, 2022
- Updated
- Dec 13, 2022
- SHA
- 2a27c2ea
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 - Bharat Ramanathan
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2308
- Wer: 36.7397
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: 64
- eval_batch_size: 32
- 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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1275 | 4.03 | 500 | 0.1630 | 35.4015 |
| 0.09 | 9.02 | 1000 | 0.1821 | 40.0243 |
| 0.062 | 14.01 | 1500 | 0.2004 | 37.7129 |
| 0.0441 | 19.0 | 2000 | 0.2105 | 36.2530 |
| 0.0335 | 23.03 | 2500 | 0.2250 | 37.7129 |
| 0.0276 | 28.02 | 3000 | 0.2308 | 36.7397 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ml
- Created
- Dec 11, 2022
- Updated
- Dec 13, 2022