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wav2vec2-base-klay-demo-google-colab
adelgalu/wav2vec2-base-klay-demo-google-colab
wav2vec2-base-klay-demo-google-colab is a automatic speech recognition model from adelgalu. 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
- Aug 30, 2022
- Updated
- Aug 30, 2022
- SHA
- 20207b71
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-klay-demo-google-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: 0.0060
- Wer: 0.1791
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: 8
- 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
- num_epochs: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 15.0 | 300 | 2.4020 | 0.9889 |
| 2.4596 | 30.0 | 600 | 1.3773 | 0.9833 |
| 2.4596 | 45.0 | 900 | 0.5241 | 0.7253 |
| 1.1148 | 60.0 | 1200 | 0.2260 | 0.4472 |
| 0.3637 | 75.0 | 1500 | 0.1474 | 0.3682 |
| 0.3637 | 90.0 | 1800 | 0.0742 | 0.2848 |
| 0.1874 | 105.0 | 2100 | 0.0563 | 0.2681 |
| 0.1874 | 120.0 | 2400 | 0.0535 | 0.2436 |
| 0.1273 | 135.0 | 2700 | 0.0335 | 0.2258 |
| 0.0914 | 150.0 | 3000 | 0.0336 | 0.2214 |
| 0.0914 | 165.0 | 3300 | 0.0323 | 0.2136 |
| 0.0733 | 180.0 | 3600 | 0.0225 | 0.2069 |
| 0.0733 | 195.0 | 3900 | 0.0953 | 0.2314 |
| 0.0678 | 210.0 | 4200 | 0.0122 | 0.1902 |
| 0.0428 | 225.0 | 4500 | 0.0104 | 0.1869 |
| 0.0428 | 240.0 | 4800 | 0.0120 | 0.1791 |
| 0.0291 | 255.0 | 5100 | 0.0110 | 0.1835 |
| 0.0291 | 270.0 | 5400 | 0.0062 | 0.1802 |
| 0.0235 | 285.0 | 5700 | 0.0061 | 0.1802 |
| 0.0186 | 300.0 | 6000 | 0.0060 | 0.1791 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 30, 2022
- Updated
- Aug 30, 2022