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wav2vec2-1b-Elderly6
Gummybear05/wav2vec2-1b-Elderly6
wav2vec2-1b-Elderly6 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 26, 2024
- Updated
- Nov 26, 2024
- SHA
- 905eb7c6
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-Elderly6
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: 0.3776
- Cer: 10.3853
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 9.195 | 0.2580 | 200 | 3.1758 | 50.8870 |
| 1.6332 | 0.5161 | 400 | 1.4825 | 34.3280 |
| 1.1542 | 0.7741 | 600 | 1.0327 | 24.9765 |
| 0.9689 | 1.0322 | 800 | 0.9404 | 22.8090 |
| 0.8334 | 1.2902 | 1000 | 0.7965 | 19.8250 |
| 0.7615 | 1.5483 | 1200 | 0.7948 | 19.2845 |
| 0.7499 | 1.8063 | 1400 | 0.7138 | 18.9203 |
| 0.6314 | 2.0643 | 1600 | 0.7851 | 19.9659 |
| 0.5657 | 2.3224 | 1800 | 0.6697 | 17.9335 |
| 0.5533 | 2.5804 | 2000 | 0.7101 | 18.7441 |
| 0.5326 | 2.8385 | 2200 | 0.6084 | 16.3240 |
| 0.4909 | 3.0965 | 2400 | 0.5517 | 15.5898 |
| 0.4061 | 3.3546 | 2600 | 0.5080 | 13.9803 |
| 0.3904 | 3.6126 | 2800 | 0.4536 | 12.5352 |
| 0.3628 | 3.8707 | 3000 | 0.4773 | 12.7232 |
| 0.3109 | 4.1287 | 3200 | 0.4460 | 12.0242 |
| 0.2835 | 4.3867 | 3400 | 0.4071 | 11.3311 |
| 0.2507 | 4.6448 | 3600 | 0.3907 | 10.6497 |
| 0.248 | 4.9028 | 3800 | 0.3776 | 10.3853 |
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 26, 2024
- Updated
- Nov 26, 2024