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wav2vec2-base-nsc-demo-2
beatrice-yap/wav2vec2-base-nsc-demo-2
wav2vec2-base-nsc-demo-2 is a automatic speech recognition model from beatrice-yap. 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
- Oct 13, 2023
- Updated
- Oct 13, 2023
- SHA
- 8e384a43
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-nsc-demo-2
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7769
- Wer: 0.2568
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: 32
- 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: 1000
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.95 | 6.67 | 20 | 1.0674 | 0.3160 |
| 0.6587 | 13.33 | 40 | 0.9156 | 0.2864 |
| 0.5063 | 20.0 | 60 | 0.8279 | 0.2741 |
| 0.3928 | 26.67 | 80 | 0.7769 | 0.2568 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 13, 2023
- Updated
- Oct 13, 2023