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bonito-wav2vec2-tiny-demo
yenpolin/bonito-wav2vec2-tiny-demo
bonito-wav2vec2-tiny-demo is a automatic speech recognition model from yenpolin. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 5, 2023
- Updated
- Mar 6, 2023
- SHA
- 1ae33a9a
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. -->
bonito-wav2vec2-tiny-demo
This model is a fine-tuned version of yenpolin/bonito-wav2vec2-tiny on the DNA_R9.4.1 - NA dataset. It achieves the following results on the evaluation set:
- Loss: 1.1499
- Mean Acc: 0.0
- Median Acc: 0.0
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: 0.002
- train_batch_size: 320
- eval_batch_size: 768
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Acc | Median Acc |
|---|---|---|---|---|---|
| No log | 0.51 | 160 | 1.1511 | 0.0 | 0.0 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.1
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Mar 5, 2023
- Updated
- Mar 6, 2023