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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
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- d94b269f
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: 1.0142
- Cer: 29.0179
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 |
|---|---|---|---|---|
| 29.2433 | 0.1289 | 200 | 4.9344 | 100.0 |
| 4.8669 | 0.2579 | 400 | 4.6589 | 100.0 |
| 4.7421 | 0.3868 | 600 | 4.6241 | 98.4258 |
| 4.6589 | 0.5158 | 800 | 4.5763 | 97.6269 |
| 4.5978 | 0.6447 | 1000 | 4.6357 | 97.5446 |
| 4.5014 | 0.7737 | 1200 | 4.3404 | 95.6884 |
| 3.8915 | 0.9026 | 1400 | 3.3848 | 65.5193 |
| 2.9112 | 1.0316 | 1600 | 2.6761 | 58.4763 |
| 2.4372 | 1.1605 | 1800 | 2.3130 | 48.8369 |
| 2.1033 | 1.2895 | 2000 | 2.0994 | 47.3391 |
| 1.8883 | 1.4184 | 2200 | 1.7943 | 42.6574 |
| 1.7159 | 1.5474 | 2400 | 1.7197 | 41.7998 |
| 1.5891 | 1.6763 | 2600 | 1.5193 | 38.6631 |
| 1.443 | 1.8053 | 2800 | 1.4734 | 37.8994 |
| 1.3674 | 1.9342 | 3000 | 1.3481 | 34.1988 |
| 1.2286 | 2.0632 | 3200 | 1.2702 | 32.8301 |
| 1.1511 | 2.1921 | 3400 | 1.2076 | 33.0592 |
| 1.0793 | 2.3211 | 3600 | 1.1945 | 33.2178 |
| 1.0503 | 2.4500 | 3800 | 1.1009 | 30.6039 |
| 1.016 | 2.5790 | 4000 | 1.0903 | 30.3102 |
| 0.988 | 2.7079 | 4200 | 1.0930 | 31.2441 |
| 0.957 | 2.8369 | 4400 | 1.0501 | 30.1692 |
| 0.9308 | 2.9658 | 4600 | 1.0142 | 29.0179 |
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 15, 2024
- Updated
- Oct 15, 2024