readme: ---
  license: apache-2.0
  tags:
  - audio-classification
  - generated_from_trainer
  datasets:
  - common_language
  metrics:
  - accuracy
  model-index:
  - name: sew-mid-100k-ft-common-language
    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. -->
  
  # sew-mid-100k-ft-common-language
  
  This model is a fine-tuned version of [asapp/sew-mid-100k](https://huggingface.co/asapp/sew-mid-100k) on the common_language dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1189
  - Accuracy: 0.3842
  
  ## 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: 4
  - seed: 0
  - 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: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 3.608         | 1.0   | 173  | 3.7266          | 0.0540   |
  | 3.1298        | 2.0   | 346  | 3.2180          | 0.1654   |
  | 2.8481        | 3.0   | 519  | 2.9270          | 0.2019   |
  | 2.648         | 4.0   | 692  | 2.6991          | 0.2619   |
  | 2.5           | 5.0   | 865  | 2.5236          | 0.3004   |
  | 2.2578        | 6.0   | 1038 | 2.4019          | 0.3212   |
  | 2.2782        | 7.0   | 1211 | 2.1698          | 0.3658   |
  | 2.1665        | 8.0   | 1384 | 2.1976          | 0.3631   |
  | 2.1626        | 9.0   | 1557 | 2.1473          | 0.3791   |
  | 2.1514        | 10.0  | 1730 | 2.1189          | 0.3842   |
  
  
  ### Framework versions
  
  - Transformers 4.12.0.dev0
  - Pytorch 1.9.1+cu111
  - Datasets 1.14.0
  - Tokenizers 0.10.3
  