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wav2vec2-1b-Elderly2
Gummybear05/wav2vec2-1b-Elderly2
wav2vec2-1b-Elderly2 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
- Nov 25, 2024
- Updated
- Nov 25, 2024
- SHA
- eb96bce3
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. -->
wav2vec2-1b-Elderly2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4163
- Cer: 11.6894
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 |
|---|---|---|---|---|
| 10.2843 | 0.1289 | 200 | 2.5492 | 45.7766 |
| 1.8359 | 0.2579 | 400 | 1.5587 | 34.1694 |
| 1.3781 | 0.3868 | 600 | 1.5687 | 34.6335 |
| 1.1717 | 0.5158 | 800 | 1.1218 | 26.3217 |
| 1.1155 | 0.6447 | 1000 | 1.0626 | 26.6095 |
| 1.018 | 0.7737 | 1200 | 0.9805 | 24.6828 |
| 0.9304 | 0.9026 | 1400 | 0.9428 | 23.6783 |
| 0.8523 | 1.0316 | 1600 | 0.8593 | 22.5094 |
| 0.7385 | 1.1605 | 1800 | 0.7612 | 20.2420 |
| 0.7027 | 1.2895 | 2000 | 0.7923 | 20.9410 |
| 0.702 | 1.4184 | 2200 | 0.6695 | 17.7867 |
| 0.6454 | 1.5474 | 2400 | 0.6731 | 18.1391 |
| 0.5988 | 1.6763 | 2600 | 0.6737 | 17.6281 |
| 0.5968 | 1.8053 | 2800 | 0.6260 | 16.2007 |
| 0.5786 | 1.9342 | 3000 | 0.6055 | 16.0068 |
| 0.4825 | 2.0632 | 3200 | 0.6158 | 16.3828 |
| 0.4486 | 2.1921 | 3400 | 0.5301 | 13.9626 |
| 0.4043 | 2.3211 | 3600 | 0.5068 | 14.0155 |
| 0.3979 | 2.4500 | 3800 | 0.5188 | 13.9215 |
| 0.3779 | 2.5790 | 4000 | 0.4591 | 12.7643 |
| 0.3663 | 2.7079 | 4200 | 0.4430 | 12.4413 |
| 0.3539 | 2.8369 | 4400 | 0.4293 | 11.9537 |
| 0.3436 | 2.9658 | 4600 | 0.4163 | 11.6894 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 25, 2024
- Updated
- Nov 25, 2024