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whisper-a-nomi-17
susmitabhatt/whisper-a-nomi-17
whisper-a-nomi-17 is a automatic speech recognition model from susmitabhatt. 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 6, 2024
- Updated
- Dec 6, 2024
- SHA
- 3cee14b6
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-a-nomi-17
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: 0.0335
- Wer: 9.5621
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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 17
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 88 | 0.3229 | 37.8910 |
| 0.9213 | 2.0 | 176 | 0.0773 | 21.7158 |
| 0.135 | 3.0 | 264 | 0.0585 | 26.5416 |
| 0.0547 | 4.0 | 352 | 0.0728 | 177.7480 |
| 0.0453 | 5.0 | 440 | 0.0574 | 18.0518 |
| 0.0237 | 6.0 | 528 | 0.0531 | 15.0134 |
| 0.0147 | 7.0 | 616 | 0.0271 | 6.6130 |
| 0.0106 | 8.0 | 704 | 0.0362 | 7.2386 |
| 0.0106 | 9.0 | 792 | 0.0491 | 8.9366 |
| 0.0063 | 10.0 | 880 | 0.0327 | 8.1323 |
| 0.0036 | 11.0 | 968 | 0.0352 | 7.3280 |
| 0.0009 | 12.0 | 1056 | 0.0695 | 11.4388 |
| 0.0023 | 13.0 | 1144 | 0.0338 | 10.2770 |
| 0.0001 | 14.0 | 1232 | 0.0374 | 10.2770 |
| 0.0 | 15.0 | 1320 | 0.0335 | 9.5621 |
| 0.0 | 16.0 | 1408 | 0.0335 | 9.5621 |
| 0.0 | 17.0 | 1496 | 0.0335 | 9.5621 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 6, 2024
- Updated
- Dec 6, 2024