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Fine_tune_whisper_small
Sania67/Fine_tune_whisper_small
Fine_tune_whisper_small is a automatic speech recognition model from Sania67. 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
- Nov 29, 2022
- Updated
- Jul 19, 2023
- SHA
- 238f91b5
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. -->
Fine_tune_whisper_small
This model is a fine-tuned version of openai/whisper-small on our own recorded dataset (700 audio samples). It achieves the following results on the evaluation set:
- Loss: 0.8225
- Wer: 43.7477
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: 200
- training_steps: 900
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2991 | 3.92 | 200 | 0.6605 | 44.1903 |
| 0.0185 | 7.84 | 400 | 0.7377 | 42.8624 |
| 0.0026 | 11.76 | 600 | 0.8087 | 43.0837 |
| 0.0011 | 15.69 | 800 | 0.8225 | 43.7477 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 29, 2022
- Updated
- Jul 19, 2023