readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-base-sound2
    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-sound2
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5012
  - Accuracy: 0.5357
  
  ## 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: 9e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 25
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 1    | 2.0762          | 0.0714   |
  | No log        | 2.0   | 2    | 2.0638          | 0.1429   |
  | No log        | 3.0   | 3    | 2.0387          | 0.2143   |
  | No log        | 4.0   | 4    | 2.0124          | 0.2143   |
  | No log        | 5.0   | 5    | 1.9864          | 0.2143   |
  | No log        | 6.0   | 6    | 1.9609          | 0.2143   |
  | No log        | 7.0   | 7    | 1.9235          | 0.2143   |
  | No log        | 8.0   | 8    | 1.9379          | 0.2143   |
  | No log        | 9.0   | 9    | 1.8627          | 0.2857   |
  | 1.9713        | 10.0  | 10   | 1.8277          | 0.3214   |
  | 1.9713        | 11.0  | 11   | 1.7765          | 0.3571   |
  | 1.9713        | 12.0  | 12   | 1.7204          | 0.5      |
  | 1.9713        | 13.0  | 13   | 1.6956          | 0.5      |
  | 1.9713        | 14.0  | 14   | 1.6602          | 0.5357   |
  | 1.9713        | 15.0  | 15   | 1.6277          | 0.5714   |
  | 1.9713        | 16.0  | 16   | 1.6053          | 0.5      |
  | 1.9713        | 17.0  | 17   | 1.5825          | 0.5      |
  | 1.9713        | 18.0  | 18   | 1.5656          | 0.4286   |
  | 1.9713        | 19.0  | 19   | 1.5616          | 0.4643   |
  | 1.6334        | 20.0  | 20   | 1.5613          | 0.4286   |
  | 1.6334        | 21.0  | 21   | 1.5419          | 0.5      |
  | 1.6334        | 22.0  | 22   | 1.5166          | 0.5357   |
  | 1.6334        | 23.0  | 23   | 1.5088          | 0.5      |
  | 1.6334        | 24.0  | 24   | 1.5052          | 0.5      |
  | 1.6334        | 25.0  | 25   | 1.5012          | 0.5357   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 1.14.0
  - Tokenizers 0.12.1
  