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wav2vec2-E50_freq_pause
Gummybear05/wav2vec2-E50_freq_pause
wav2vec2-E50_freq_pause is a automatic speech recognition model from Gummybear05. 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
- Oct 17, 2024
- Updated
- Oct 17, 2024
- SHA
- 5e15dd7b
Base models
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-E50_freq_pause
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8196
- Cer: 36.9713
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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 31.297 | 0.1289 | 200 | 5.4260 | 100.0 |
| 4.888 | 0.2579 | 400 | 4.7009 | 100.0 |
| 4.776 | 0.3868 | 600 | 5.0539 | 100.0 |
| 4.7621 | 0.5158 | 800 | 4.6373 | 100.0 |
| 4.6795 | 0.6447 | 1000 | 4.6474 | 100.0 |
| 4.6648 | 0.7737 | 1200 | 4.8580 | 100.0 |
| 4.6503 | 0.9026 | 1400 | 4.6060 | 100.0 |
| 4.5806 | 1.0316 | 1600 | 4.6559 | 98.0204 |
| 4.5544 | 1.1605 | 1800 | 4.4803 | 98.0909 |
| 4.4936 | 1.2895 | 2000 | 4.6766 | 98.0028 |
| 4.3834 | 1.4184 | 2200 | 4.3482 | 97.9088 |
| 4.2361 | 1.5474 | 2400 | 4.1447 | 80.8036 |
| 3.6904 | 1.6763 | 2600 | 3.3525 | 59.5277 |
| 3.1158 | 1.8053 | 2800 | 2.9366 | 53.3541 |
| 2.7611 | 1.9342 | 3000 | 2.6343 | 48.2202 |
| 2.527 | 2.0632 | 3200 | 2.3777 | 44.1788 |
| 2.323 | 2.1921 | 3400 | 2.1629 | 41.8351 |
| 2.18 | 2.3211 | 3600 | 2.1591 | 42.4695 |
| 2.0783 | 2.4500 | 3800 | 2.0168 | 39.9847 |
| 1.996 | 2.5790 | 4000 | 1.9937 | 40.1492 |
| 1.9336 | 2.7079 | 4200 | 1.8950 | 38.0815 |
| 1.8621 | 2.8369 | 4400 | 1.8627 | 37.7702 |
| 1.8707 | 2.9658 | 4600 | 1.8196 | 36.9713 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 17, 2024
- Updated
- Oct 17, 2024