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wav2vec2-large-TIMIT-IPA
speech31/wav2vec2-large-TIMIT-IPA
wav2vec2-large-TIMIT-IPA is a automatic speech recognition model from speech31. 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
- Jan 9, 2023
- Updated
- Jan 11, 2023
- SHA
- 1a61a0ce
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. -->
wav2vec2-large-TIMIT-IPA
This model is a fine-tuned version of facebook/wav2vec2-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3130
- Per: 0.0550
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: 64
- 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: 1000
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per |
|---|---|---|---|---|
| 4.3003 | 6.85 | 500 | 3.8093 | 0.9424 |
| 1.7151 | 13.7 | 1000 | 0.2929 | 0.0708 |
| 0.2212 | 20.55 | 1500 | 0.2259 | 0.0575 |
| 0.1241 | 27.4 | 2000 | 0.2716 | 0.0595 |
| 0.0917 | 34.25 | 2500 | 0.2902 | 0.0606 |
| 0.0659 | 41.1 | 3000 | 0.2982 | 0.0570 |
| 0.0532 | 47.95 | 3500 | 0.2770 | 0.0595 |
| 0.0438 | 54.79 | 4000 | 0.2953 | 0.0579 |
| 0.0368 | 61.64 | 4500 | 0.3151 | 0.0572 |
| 0.0303 | 68.49 | 5000 | 0.3425 | 0.0576 |
| 0.0281 | 75.34 | 5500 | 0.3065 | 0.0558 |
| 0.0215 | 82.19 | 6000 | 0.3288 | 0.0558 |
| 0.0185 | 89.04 | 6500 | 0.3288 | 0.0558 |
| 0.018 | 95.89 | 7000 | 0.3130 | 0.0550 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.2.dev0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jan 9, 2023
- Updated
- Jan 11, 2023