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wav2vec2-base-librispeech-demo-colab
tlsalfm820/wav2vec2-base-librispeech-demo-colab
wav2vec2-base-librispeech-demo-colab is a automatic speech recognition model from tlsalfm820. 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
- May 16, 2023
- Updated
- May 23, 2023
- SHA
- 5675c5d0
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-base-librispeech-demo-colab
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: 0.2489
- Wer: 0.1673
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.7801 | 2.2 | 500 | 2.1946 | 1.0068 |
| 0.7656 | 4.41 | 1000 | 0.3422 | 0.3137 |
| 0.3193 | 6.61 | 1500 | 0.2528 | 0.2327 |
| 0.2202 | 8.81 | 2000 | 0.2141 | 0.2121 |
| 0.1703 | 11.01 | 2500 | 0.2121 | 0.1966 |
| 0.1388 | 13.22 | 3000 | 0.3337 | 0.2325 |
| 0.119 | 15.42 | 3500 | 0.2342 | 0.1847 |
| 0.0992 | 17.62 | 4000 | 0.2356 | 0.1785 |
| 0.0875 | 19.82 | 4500 | 0.2534 | 0.1810 |
| 0.0769 | 22.03 | 5000 | 0.2491 | 0.1765 |
| 0.0661 | 24.23 | 5500 | 0.2513 | 0.1710 |
| 0.0587 | 26.43 | 6000 | 0.2546 | 0.1686 |
| 0.0544 | 28.63 | 6500 | 0.2489 | 0.1673 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 16, 2023
- Updated
- May 23, 2023