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wav2vec2-base-cer
abbenedek/wav2vec2-base-cer
wav2vec2-base-cer is a automatic speech recognition model from abbenedek. 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
- May 1, 2024
- Updated
- May 1, 2024
- SHA
- aaaa9038
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-base-cer
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0018
- Cer: 0.0718
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: 64
- 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: 150
- num_epochs: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 6.646 | 15.38 | 200 | 1.9010 | 0.6387 |
| 0.6207 | 30.77 | 400 | 0.0849 | 0.1757 |
| 0.0527 | 46.15 | 600 | 0.0643 | 0.1386 |
| 0.0325 | 61.54 | 800 | 0.0117 | 0.0888 |
| 0.0156 | 76.92 | 1000 | 0.0101 | 0.1148 |
| 0.0081 | 92.31 | 1200 | 0.0042 | 0.1255 |
| 0.0057 | 107.69 | 1400 | 0.0036 | 0.1284 |
| 0.0058 | 123.08 | 1600 | 0.0066 | 0.0891 |
| 0.0066 | 138.46 | 1800 | 0.0028 | 0.0926 |
| 0.0049 | 153.85 | 2000 | 0.0026 | 0.0391 |
| 0.0044 | 169.23 | 2200 | 0.0020 | 0.0574 |
| 0.0024 | 184.62 | 2400 | 0.0018 | 0.0745 |
| 0.0023 | 200.0 | 2600 | 0.0018 | 0.0718 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 1, 2024
- Updated
- May 1, 2024