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whisper-small-hi-custom3
PradyumSomebody/whisper-small-hi-custom3
whisper-small-hi-custom3 is a automatic speech recognition model from PradyumSomebody. 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 17, 2024
- Updated
- Jul 17, 2024
- SHA
- 77b924cb
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 EN - Pradyum Agarwal
This model is a fine-tuned version of openai/whisper-small on the Audio Medical Combined Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1223
- Wer: 4.8794
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: 10
- 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: 120
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7764 | 0.25 | 10 | 0.8395 | 18.9812 |
| 0.796 | 0.5 | 20 | 0.8292 | 18.2306 |
| 0.7006 | 0.75 | 30 | 0.7916 | 17.1046 |
| 0.6618 | 1.0 | 40 | 0.7266 | 15.7105 |
| 0.621 | 1.25 | 50 | 0.6598 | 13.9946 |
| 0.4566 | 1.5 | 60 | 0.5669 | 12.3861 |
| 0.3225 | 1.75 | 70 | 0.4023 | 11.5282 |
| 0.2363 | 2.0 | 80 | 0.2502 | 10.9920 |
| 0.1248 | 2.25 | 90 | 0.2035 | 9.3298 |
| 0.1482 | 2.5 | 100 | 0.1727 | 7.9357 |
| 0.1016 | 2.75 | 110 | 0.1462 | 6.4879 |
| 0.1274 | 3.0 | 120 | 0.1223 | 4.8794 |
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
- en
- Created
- Jul 17, 2024
- Updated
- Jul 17, 2024