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glaswegian-asr
divakaivan/glaswegian-asr
glaswegian-asr is a automatic speech recognition model from divakaivan. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
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2.9 GB on disk
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jul 30, 2024
- Updated
- Aug 17, 2024
- SHA
- 08040277
Base models
Datasets
Model card
From the Hugging Face model README
Fine-tuned using this notebook
<!-- 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. -->Glaswegian_Whisper
This model is a fine-tuned version of openai/whisper-small on the Glaswegian audio dataset. It achieves the following results on the evaluation set:
- Loss: 1.4788
- Wer: 40.5394
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0084 | 16.3934 | 1000 | 1.2802 | 38.5588 |
| 0.0019 | 32.7869 | 2000 | 1.4141 | 39.0223 |
| 0.0002 | 49.1803 | 3000 | 1.4553 | 40.3287 |
| 0.0001 | 65.5738 | 4000 | 1.4788 | 40.5394 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+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 30, 2024
- Updated
- Aug 17, 2024