wav2vec2-48KHz-audioset-natual-sounds
This model is a fine-tuned version of bilalhsp/wav2vec2-base-audioset-natural-sounds on the generator 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Contrastive Loss | Diversity Loss |
|---|---|---|---|---|---|
| No log | 1.0 | 8 | 1965.5140 | 1933.3790 | 321.3505 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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