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wav2vec2-1b-Yfreq_speed
Gummybear05/wav2vec2-1b-Yfreq_speed
wav2vec2-1b-Yfreq_speed 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 28, 2024
- Updated
- Nov 28, 2024
- SHA
- 0295f395
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-Yfreq_speed
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: 0.8611
- Cer: 22.6210
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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 |
|---|---|---|---|---|
| 14.3278 | 0.2580 | 200 | 3.6015 | 77.1323 |
| 2.1201 | 0.5160 | 400 | 1.8341 | 43.0627 |
| 1.4637 | 0.7741 | 600 | 1.6054 | 37.5587 |
| 1.2057 | 1.0321 | 800 | 1.3425 | 34.6805 |
| 0.9711 | 1.2901 | 1000 | 1.4205 | 35.2091 |
| 0.9025 | 1.5481 | 1200 | 1.3218 | 34.0872 |
| 0.8081 | 1.8062 | 1400 | 1.1956 | 30.2514 |
| 0.708 | 2.0642 | 1600 | 1.1235 | 28.9532 |
| 0.6006 | 2.3222 | 1800 | 1.2789 | 32.7655 |
| 0.5513 | 2.5802 | 2000 | 1.0509 | 27.1205 |
| 0.5326 | 2.8383 | 2200 | 1.1183 | 29.8990 |
| 0.4737 | 3.0963 | 2400 | 1.0453 | 26.8738 |
| 0.3829 | 3.3543 | 2600 | 0.9891 | 25.7460 |
| 0.3463 | 3.6123 | 2800 | 0.9118 | 23.8898 |
| 0.3313 | 3.8703 | 3000 | 0.9157 | 23.9074 |
| 0.2857 | 4.1284 | 3200 | 0.9297 | 24.4185 |
| 0.2432 | 4.3864 | 3400 | 0.8564 | 22.3273 |
| 0.2314 | 4.6444 | 3600 | 0.8760 | 22.5505 |
| 0.2125 | 4.9024 | 3800 | 0.8611 | 22.6210 |
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 28, 2024
- Updated
- Nov 28, 2024