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wav2vec2-1b-E10_speed_pause
Gummybear05/wav2vec2-1b-E10_speed_pause
wav2vec2-1b-E10_speed_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 1, 2024
- Updated
- Dec 1, 2024
- SHA
- 91d69dd2
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-E10_speed_pause
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: 0.7350
- Cer: 19.3492
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 |
|---|---|---|---|---|
| 12.3554 | 0.2580 | 200 | 4.7531 | 99.0543 |
| 2.9802 | 0.5160 | 400 | 2.5589 | 60.7495 |
| 1.3723 | 0.7741 | 600 | 1.8529 | 48.9074 |
| 1.0598 | 1.0321 | 800 | 1.2929 | 34.4749 |
| 0.861 | 1.2901 | 1000 | 1.2272 | 31.8903 |
| 0.736 | 1.5481 | 1200 | 1.0361 | 26.4333 |
| 0.646 | 1.8062 | 1400 | 0.9841 | 26.2864 |
| 0.5576 | 2.0642 | 1600 | 1.0104 | 26.6095 |
| 0.4699 | 2.3222 | 1800 | 1.0558 | 26.8680 |
| 0.4313 | 2.5802 | 2000 | 1.0000 | 25.7989 |
| 0.4008 | 2.8383 | 2200 | 0.9699 | 25.7754 |
| 0.3416 | 3.0963 | 2400 | 0.8346 | 22.4213 |
| 0.2761 | 3.3543 | 2600 | 0.7851 | 20.2303 |
| 0.2554 | 3.6123 | 2800 | 0.7723 | 20.0012 |
| 0.2318 | 3.8703 | 3000 | 0.8079 | 21.3228 |
| 0.2013 | 4.1284 | 3200 | 0.8115 | 21.1290 |
| 0.1714 | 4.3864 | 3400 | 0.7670 | 19.6840 |
| 0.158 | 4.6444 | 3600 | 0.7683 | 19.8896 |
| 0.1471 | 4.9024 | 3800 | 0.7350 | 19.3492 |
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
- Dec 1, 2024
- Updated
- Dec 1, 2024