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wav2vec2_ASV
Bisher/wav2vec2_ASV
wav2vec2_ASV is a machine learning model from Bisher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 19, 2024
- Updated
- Aug 19, 2024
- SHA
- 0d15ae16
Base models
Datasets
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_ASV
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6008
- eval_accuracy: 0.8467
- eval_runtime: 92.501
- eval_samples_per_second: 1.622
- eval_steps_per_second: 1.622
- epoch: 1.4667
- step: 110
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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 19, 2024
- Updated
- Aug 19, 2024