readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-large-960h-lv60-self-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-large-960h-lv60-self-intent-classification-ori
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1985
  - Accuracy: 0.5417
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.2033        | 1.0   | 14   | 2.2126          | 0.0833   |
  | 2.2006        | 2.0   | 28   | 2.2026          | 0.0833   |
  | 2.1786        | 3.0   | 42   | 2.1758          | 0.3333   |
  | 2.1712        | 4.0   | 56   | 2.1436          | 0.3333   |
  | 2.1495        | 5.0   | 70   | 2.1120          | 0.3333   |
  | 2.1326        | 6.0   | 84   | 2.0909          | 0.3333   |
  | 2.1039        | 7.0   | 98   | 2.0966          | 0.3333   |
  | 2.0931        | 8.0   | 112  | 2.0355          | 0.3333   |
  | 2.1144        | 9.0   | 126  | 2.0082          | 0.3333   |
  | 2.0258        | 10.0  | 140  | 1.9901          | 0.375    |
  | 2.0028        | 11.0  | 154  | 1.9429          | 0.3958   |
  | 1.9737        | 12.0  | 168  | 1.9538          | 0.3958   |
  | 1.9023        | 13.0  | 182  | 1.8824          | 0.375    |
  | 1.9226        | 14.0  | 196  | 1.8607          | 0.3958   |
  | 1.8521        | 15.0  | 210  | 1.8065          | 0.3958   |
  | 1.7752        | 16.0  | 224  | 1.8153          | 0.4167   |
  | 1.8391        | 17.0  | 238  | 1.7470          | 0.4375   |
  | 1.7041        | 18.0  | 252  | 1.7419          | 0.4167   |
  | 1.7075        | 19.0  | 266  | 1.6644          | 0.4375   |
  | 1.6845        | 20.0  | 280  | 1.6340          | 0.4375   |
  | 1.6275        | 21.0  | 294  | 1.6271          | 0.4167   |
  | 1.4586        | 22.0  | 308  | 1.5640          | 0.4375   |
  | 1.4987        | 23.0  | 322  | 1.5279          | 0.4583   |
  | 1.5513        | 24.0  | 336  | 1.4873          | 0.4792   |
  | 1.4828        | 25.0  | 350  | 1.4887          | 0.4583   |
  | 1.4711        | 26.0  | 364  | 1.4613          | 0.4583   |
  | 1.371         | 27.0  | 378  | 1.4062          | 0.4792   |
  | 1.3789        | 28.0  | 392  | 1.4038          | 0.4792   |
  | 1.3579        | 29.0  | 406  | 1.4031          | 0.4792   |
  | 1.2771        | 30.0  | 420  | 1.3637          | 0.5      |
  | 1.3417        | 31.0  | 434  | 1.3655          | 0.5      |
  | 1.231         | 32.0  | 448  | 1.3698          | 0.5      |
  | 1.2367        | 33.0  | 462  | 1.3394          | 0.5      |
  | 1.2933        | 34.0  | 476  | 1.3448          | 0.4792   |
  | 1.1631        | 35.0  | 490  | 1.2867          | 0.5417   |
  | 1.165         | 36.0  | 504  | 1.2624          | 0.5417   |
  | 1.2431        | 37.0  | 518  | 1.2252          | 0.5625   |
  | 1.1731        | 38.0  | 532  | 1.2082          | 0.5625   |
  | 1.1734        | 39.0  | 546  | 1.2062          | 0.5417   |
  | 1.1631        | 40.0  | 560  | 1.2034          | 0.5417   |
  | 1.0963        | 41.0  | 574  | 1.1973          | 0.5417   |
  | 1.2157        | 42.0  | 588  | 1.1988          | 0.5625   |
  | 1.1467        | 43.0  | 602  | 1.2018          | 0.5417   |
  | 1.1503        | 44.0  | 616  | 1.1986          | 0.5417   |
  | 1.0945        | 45.0  | 630  | 1.1985          | 0.5417   |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  