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Whisper-Small-TF-TIMIT
kimetsu/Whisper-Small-TF-TIMIT
Whisper-Small-TF-TIMIT is a automatic speech recognition model from kimetsu. 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
- Mar 6, 2023
- Updated
- Jul 30, 2023
- SHA
- 3f99639e
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-TF-TIMIT
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: 0.7104
- Wer: 98.0856
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: 32
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.3408 | 3.45 | 500 | 0.3994 | 83.6838 |
| 0.2057 | 6.9 | 1000 | 0.4079 | 92.3470 |
| 0.0616 | 10.34 | 1500 | 0.5076 | 94.2053 |
| 0.023 | 13.79 | 2000 | 0.5998 | 95.3184 |
| 0.0043 | 17.24 | 2500 | 0.6825 | 97.1284 |
| 0.0023 | 20.69 | 3000 | 0.7104 | 98.0856 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Mar 6, 2023
- Updated
- Jul 30, 2023