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wav2vec2-E50_pause_
Gummybear05/wav2vec2-E50_pause_
wav2vec2-E50_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
- Dec 5, 2024
- Updated
- Dec 5, 2024
- SHA
- 032dab72
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_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: 1.3869
- Cer: 26.1751
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|---|---|---|---|---|
| 29.7901 | 0.1289 | 200 | 4.9226 | 100.0 |
| 4.8707 | 0.2579 | 400 | 4.6818 | 100.0 |
| 4.782 | 0.3868 | 600 | 4.6430 | 100.0 |
| 4.7305 | 0.5158 | 800 | 4.6881 | 100.0 |
| 4.6769 | 0.6447 | 1000 | 4.6334 | 100.0 |
| 4.6788 | 0.7737 | 1200 | 4.5911 | 100.0 |
| 4.6287 | 0.9026 | 1400 | 4.5118 | 100.0 |
| 4.5731 | 1.0316 | 1600 | 4.6535 | 100.0 |
| 4.541 | 1.1605 | 1800 | 4.9000 | 100.0 |
| 4.4683 | 1.2895 | 2000 | 4.3794 | 98.6134 |
| 4.1608 | 1.4184 | 2200 | 3.8468 | 70.1351 |
| 3.2361 | 1.5474 | 2400 | 2.9225 | 51.1927 |
| 2.6741 | 1.6763 | 2600 | 2.4824 | 43.5311 |
| 2.3514 | 1.8053 | 2800 | 2.1972 | 39.7767 |
| 2.1265 | 1.9342 | 3000 | 1.9765 | 35.1293 |
| 1.9561 | 2.0632 | 3200 | 1.8913 | 32.9671 |
| 1.814 | 2.1921 | 3400 | 1.7420 | 31.9330 |
| 1.663 | 2.3211 | 3600 | 1.6148 | 29.0717 |
| 1.5849 | 2.4500 | 3800 | 1.5338 | 28.2550 |
| 1.5459 | 2.5790 | 4000 | 1.5955 | 29.9530 |
| 1.4935 | 2.7079 | 4200 | 1.4618 | 27.8496 |
| 1.414 | 2.8369 | 4400 | 1.4365 | 26.9389 |
| 1.3898 | 2.9658 | 4600 | 1.3869 | 26.1751 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 5, 2024
- Updated
- Dec 5, 2024