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thesis-audio-1
Perselope/thesis-audio-1
thesis-audio-1 is a automatic speech recognition model from Perselope. 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
- wav2vec2
- Access
- Public
- Created
- Jul 26, 2022
- Updated
- Jul 28, 2022
- SHA
- 380fa4c3
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. -->
thesis-audio-1
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: 0.4268
- Wer: 0.3395
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: 0.0001
- train_batch_size: 32
- 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: 1000
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.4633 | 4.0 | 500 | 1.4892 | 1.0006 |
| 0.5377 | 8.0 | 1000 | 0.4046 | 0.4163 |
| 0.1818 | 12.0 | 1500 | 0.4255 | 0.3850 |
| 0.1024 | 16.0 | 2000 | 0.4574 | 0.3644 |
| 0.0723 | 20.0 | 2500 | 0.4412 | 0.3550 |
| 0.0542 | 24.0 | 3000 | 0.4095 | 0.3404 |
| 0.0434 | 28.0 | 3500 | 0.4268 | 0.3395 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.12.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jul 26, 2022
- Updated
- Jul 28, 2022