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wav2vec2-base-nsc-demo-4
beatrice-yap/wav2vec2-base-nsc-demo-4
wav2vec2-base-nsc-demo-4 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 16, 2023
- Updated
- Oct 16, 2023
- SHA
- ec42bb07
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-4
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: 1.0771
- Wer: 0.5164
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: 5e-05
- 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: 100
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2409 | 4.55 | 100 | 0.9876 | 0.5584 |
| 0.1658 | 9.09 | 200 | 1.0201 | 0.5410 |
| 0.124 | 13.64 | 300 | 1.0682 | 0.5272 |
| 0.0927 | 18.18 | 400 | 1.0771 | 0.5164 |
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 16, 2023
- Updated
- Oct 16, 2023