Audio_Classification
This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset.
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: 16
- eval_batch_size: 3
- seed: 0
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.1.0.dev20230831+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for nomsgadded/Audio_Classification
Base model
facebook/wav2vec2-base