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wav2vec2-1b-E10_freq_pause
Gummybear05/wav2vec2-1b-E10_freq_pause
wav2vec2-1b-E10_freq_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 2, 2024
- Updated
- Dec 2, 2024
- SHA
- 35bf67b3
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_freq_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: 0.7622
- Cer: 19.5371
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 |
|---|---|---|---|---|
| 8.7376 | 0.2580 | 200 | 4.2865 | 79.6581 |
| 1.9384 | 0.5160 | 400 | 2.1712 | 51.7211 |
| 1.2999 | 0.7741 | 600 | 2.0590 | 47.0688 |
| 1.086 | 1.0321 | 800 | 1.3574 | 34.8214 |
| 0.8407 | 1.2901 | 1000 | 1.3538 | 32.7244 |
| 0.7729 | 1.5481 | 1200 | 1.2432 | 30.6450 |
| 0.693 | 1.8062 | 1400 | 1.0388 | 27.3026 |
| 0.5904 | 2.0642 | 1600 | 1.1171 | 28.5597 |
| 0.4983 | 2.3222 | 1800 | 1.0724 | 27.1323 |
| 0.4467 | 2.5802 | 2000 | 0.9789 | 27.1910 |
| 0.4194 | 2.8383 | 2200 | 0.9319 | 24.7533 |
| 0.37 | 3.0963 | 2400 | 0.8807 | 22.3802 |
| 0.3058 | 3.3543 | 2600 | 0.8707 | 22.7737 |
| 0.2883 | 3.6123 | 2800 | 0.8241 | 21.1349 |
| 0.2757 | 3.8703 | 3000 | 0.7938 | 20.4535 |
| 0.2276 | 4.1284 | 3200 | 0.8549 | 21.4344 |
| 0.2027 | 4.3864 | 3400 | 0.7780 | 19.9542 |
| 0.18 | 4.6444 | 3600 | 0.7515 | 19.2258 |
| 0.1783 | 4.9024 | 3800 | 0.7622 | 19.5371 |
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 2, 2024
- Updated
- Dec 2, 2024