readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-xlsr-53-espeak-cv-ft-intent-classification-ori
    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-xlsr-53-espeak-cv-ft-intent-classification-ori
  
  This model is a fine-tuned version of [facebook/wav2vec2-xlsr-53-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-xlsr-53-espeak-cv-ft) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9124
  - Accuracy: 0.625
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 45
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.1894        | 1.0   | 14   | 2.1812          | 0.3333   |
  | 2.1795        | 2.0   | 28   | 2.1553          | 0.3333   |
  | 2.144         | 3.0   | 42   | 2.1066          | 0.3333   |
  | 2.1175        | 4.0   | 56   | 2.0283          | 0.3542   |
  | 2.0542        | 5.0   | 70   | 1.9253          | 0.3958   |
  | 2.0007        | 6.0   | 84   | 1.8468          | 0.4167   |
  | 1.8891        | 7.0   | 98   | 1.7655          | 0.4583   |
  | 1.8484        | 8.0   | 112  | 1.6695          | 0.4792   |
  | 1.8256        | 9.0   | 126  | 1.5920          | 0.5      |
  | 1.6832        | 10.0  | 140  | 1.5331          | 0.5      |
  | 1.6149        | 11.0  | 154  | 1.4763          | 0.5      |
  | 1.5853        | 12.0  | 168  | 1.4453          | 0.5      |
  | 1.4357        | 13.0  | 182  | 1.3588          | 0.5      |
  | 1.4789        | 14.0  | 196  | 1.3238          | 0.4792   |
  | 1.3886        | 15.0  | 210  | 1.2822          | 0.4792   |
  | 1.313         | 16.0  | 224  | 1.2609          | 0.5      |
  | 1.3559        | 17.0  | 238  | 1.2191          | 0.5208   |
  | 1.1937        | 18.0  | 252  | 1.1936          | 0.5      |
  | 1.1847        | 19.0  | 266  | 1.1547          | 0.5417   |
  | 1.197         | 20.0  | 280  | 1.1390          | 0.5417   |
  | 1.1057        | 21.0  | 294  | 1.1310          | 0.5208   |
  | 1.0291        | 22.0  | 308  | 1.1086          | 0.5417   |
  | 1.0768        | 23.0  | 322  | 1.1075          | 0.5417   |
  | 1.0249        | 24.0  | 336  | 1.0654          | 0.5625   |
  | 1.0433        | 25.0  | 350  | 1.0390          | 0.5625   |
  | 0.9974        | 26.0  | 364  | 1.0086          | 0.6458   |
  | 0.9578        | 27.0  | 378  | 0.9939          | 0.625    |
  | 0.916         | 28.0  | 392  | 0.9938          | 0.625    |
  | 0.9187        | 29.0  | 406  | 0.9843          | 0.625    |
  | 0.8759        | 30.0  | 420  | 0.9755          | 0.625    |
  | 0.9199        | 31.0  | 434  | 0.9822          | 0.6042   |
  | 0.8791        | 32.0  | 448  | 0.9522          | 0.6458   |
  | 0.8436        | 33.0  | 462  | 0.9414          | 0.6458   |
  | 0.8692        | 34.0  | 476  | 0.9510          | 0.625    |
  | 0.8201        | 35.0  | 490  | 0.9208          | 0.6667   |
  | 0.8284        | 36.0  | 504  | 0.9398          | 0.6458   |
  | 0.8761        | 37.0  | 518  | 0.9438          | 0.6458   |
  | 0.7948        | 38.0  | 532  | 0.9253          | 0.6667   |
  | 0.8339        | 39.0  | 546  | 0.9250          | 0.6458   |
  | 0.8002        | 40.0  | 560  | 0.9145          | 0.6458   |
  | 0.7791        | 41.0  | 574  | 0.9062          | 0.6667   |
  | 0.7944        | 42.0  | 588  | 0.9077          | 0.6667   |
  | 0.7777        | 43.0  | 602  | 0.9069          | 0.6458   |
  | 0.7943        | 44.0  | 616  | 0.9118          | 0.625    |
  | 0.7573        | 45.0  | 630  | 0.9124          | 0.625    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  