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wav2vec2-Y_freq_speed_pause
Gummybear05/wav2vec2-Y_freq_speed_pause
wav2vec2-Y_freq_speed_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 11, 2024
- Updated
- Oct 11, 2024
- SHA
- 8b6b98ee
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-Y_freq_speed_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: 3.5699
- Cer: 73.6313
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 |
|---|---|---|---|---|
| 32.2129 | 0.1289 | 200 | 5.0008 | 100.0 |
| 5.033 | 0.2579 | 400 | 4.7905 | 100.0 |
| 4.8386 | 0.3868 | 600 | 4.7426 | 100.0 |
| 4.8071 | 0.5158 | 800 | 4.6807 | 100.0 |
| 4.7063 | 0.6447 | 1000 | 4.6552 | 97.3625 |
| 4.66 | 0.7737 | 1200 | 4.5850 | 96.8985 |
| 4.5669 | 0.9026 | 1400 | 4.5298 | 97.6739 |
| 4.355 | 1.0316 | 1600 | 4.5565 | 96.8574 |
| 4.1082 | 1.1605 | 1800 | 4.4688 | 95.0012 |
| 3.8409 | 1.2895 | 2000 | 4.5259 | 80.5804 |
| 3.4814 | 1.4184 | 2200 | 4.2544 | 80.0164 |
| 3.3101 | 1.5474 | 2400 | 4.3252 | 79.2822 |
| 3.1423 | 1.6763 | 2600 | 4.1301 | 76.4979 |
| 3.0633 | 1.8053 | 2800 | 4.1739 | 75.8694 |
| 2.9237 | 1.9342 | 3000 | 4.1099 | 75.8870 |
| 2.8312 | 2.0632 | 3200 | 4.0269 | 77.0148 |
| 2.7206 | 2.1921 | 3400 | 3.8298 | 76.4333 |
| 2.6076 | 2.3211 | 3600 | 3.7397 | 75.5698 |
| 2.5695 | 2.4500 | 3800 | 3.7239 | 75.1586 |
| 2.4758 | 2.5790 | 4000 | 3.6991 | 74.1071 |
| 2.4508 | 2.7079 | 4200 | 3.5936 | 73.6725 |
| 2.3894 | 2.8369 | 4400 | 3.5976 | 73.7136 |
| 2.3974 | 2.9658 | 4600 | 3.5699 | 73.6313 |
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 11, 2024
- Updated
- Oct 11, 2024