readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-conformer-rel-pos-large-960h-ft-speech_commands
    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-conformer-rel-pos-large-960h-ft-speech_commands
  
  This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large-960h-ft](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large-960h-ft) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6823
  - Accuracy: 0.9612
  
  ## 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: 128
  - eval_batch_size: 128
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 512
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.554         | 1.0   | 165  | 2.2488          | 0.8784   |
  | 1.645         | 2.0   | 330  | 1.3390          | 0.9100   |
  | 1.2462        | 3.0   | 495  | 0.9315          | 0.9589   |
  | 1.0438        | 4.0   | 660  | 0.7401          | 0.9603   |
  | 0.9908        | 5.0   | 825  | 0.6823          | 0.9612   |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  