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Speech12
OumaElha/Speech12
Speech12 is a automatic speech recognition model from OumaElha. 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 3, 2023
- Updated
- Jul 8, 2023
- SHA
- a6a895cf
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. -->
Speech12
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0053
- Wer: 1
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.8827 | 3.96 | 1000 | 2.8766 | 1 |
| 2.8369 | 7.92 | 2000 | 2.8362 | 1 |
| 1.6725 | 11.88 | 3000 | 1.4849 | 1 |
| 1.2083 | 15.84 | 4000 | 1.0574 | 1 |
| 1.1507 | 19.8 | 5000 | 1.0053 | 1 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 3, 2023
- Updated
- Jul 8, 2023