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whisper-tiny-metal
jpdiazpardo/whisper-tiny-metal
whisper-tiny-metal is a automatic speech recognition model from jpdiazpardo. 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 13, 2023
- Updated
- Aug 22, 2023
- SHA
- 288203be
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 Tiny Metal - Juan Pablo Diaz
This model is a fine-tuned version of openai/whisper-tiny on the Gutural Scream and Metal Vocals dataset. It achieves the following results on the evaluation set:
- Loss: 1.6780
- Wer: 79.9061
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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0844 | 9.62 | 1000 | 1.3967 | 104.6055 |
| 0.0018 | 19.23 | 2000 | 1.5861 | 93.5465 |
| 0.0008 | 28.85 | 3000 | 1.6552 | 78.9381 |
| 0.0006 | 38.46 | 4000 | 1.6780 | 79.9061 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Jul 13, 2023
- Updated
- Aug 22, 2023