readme: ---
  license: cc-by-nc-4.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-base-100k-voxpopuli-finetuned-gtzan
    results: []
  ---
  
  <!-- 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-100k-voxpopuli-finetuned-gtzan
  
  This model is a fine-tuned version of [facebook/wav2vec2-base-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-base-100k-voxpopuli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9408
  - Accuracy: 0.86
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 4
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 225  | 2.1672          | 0.3      |
  | 2.1675        | 2.0   | 450  | 2.0095          | 0.29     |
  | 2.1675        | 3.0   | 675  | 1.7326          | 0.29     |
  | 1.7199        | 4.0   | 900  | 1.4980          | 0.49     |
  | 1.7199        | 5.0   | 1125 | 1.4088          | 0.37     |
  | 1.3585        | 6.0   | 1350 | 1.2238          | 0.54     |
  | 1.3585        | 7.0   | 1575 | 1.3579          | 0.52     |
  | 1.0599        | 8.0   | 1800 | 0.9954          | 0.62     |
  | 1.0599        | 9.0   | 2025 | 0.9543          | 0.73     |
  | 0.8337        | 10.0  | 2250 | 0.9428          | 0.76     |
  | 0.8337        | 11.0  | 2475 | 0.8810          | 0.78     |
  | 0.5861        | 12.0  | 2700 | 0.7753          | 0.76     |
  | 0.5861        | 13.0  | 2925 | 0.9981          | 0.74     |
  | 0.3662        | 14.0  | 3150 | 1.1597          | 0.77     |
  | 0.3662        | 15.0  | 3375 | 1.0466          | 0.79     |
  | 0.277         | 16.0  | 3600 | 1.0763          | 0.81     |
  | 0.277         | 17.0  | 3825 | 0.8407          | 0.87     |
  | 0.1731        | 18.0  | 4050 | 0.9317          | 0.86     |
  | 0.1731        | 19.0  | 4275 | 0.8545          | 0.87     |
  | 0.1489        | 20.0  | 4500 | 0.9408          | 0.86     |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.2
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  