readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - minds14
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-base-finetuned-ks
    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-finetuned-ks
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.6374
  - Accuracy: 0.0619
  
  ## 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: 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 0.8   | 3    | 2.6374          | 0.0619   |
  | No log        | 1.8   | 6    | 2.6433          | 0.0619   |
  | No log        | 2.8   | 9    | 2.6508          | 0.0531   |
  | 3.2258        | 3.8   | 12   | 2.6540          | 0.0531   |
  | 3.2258        | 4.8   | 15   | 2.6592          | 0.0442   |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.0
  - Tokenizers 0.13.1
  