readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-base-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-base-intent-classification-ori
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the [intent-dataset](https://huggingface.co/datasets/MuhammadIqbalBazmi/intent-dataset) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4928
  - Accuracy: 0.9167
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 4
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.1867        | 1.0   | 28   | 2.1745          | 0.2708   |
  | 2.1177        | 2.0   | 56   | 2.1165          | 0.2708   |
  | 2.1012        | 3.0   | 84   | 2.0553          | 0.2708   |
  | 1.9851        | 4.0   | 112  | 1.9551          | 0.375    |
  | 1.9092        | 5.0   | 140  | 1.9765          | 0.2917   |
  | 1.6848        | 6.0   | 168  | 1.8461          | 0.2917   |
  | 1.6576        | 7.0   | 196  | 1.5223          | 0.5      |
  | 1.4492        | 8.0   | 224  | 1.4500          | 0.4792   |
  | 1.2193        | 9.0   | 252  | 1.5349          | 0.4792   |
  | 1.1149        | 10.0  | 280  | 1.2159          | 0.5833   |
  | 1.0615        | 11.0  | 308  | 1.1469          | 0.6875   |
  | 1.0584        | 12.0  | 336  | 1.2778          | 0.6042   |
  | 0.8237        | 13.0  | 364  | 1.1774          | 0.5625   |
  | 0.6699        | 14.0  | 392  | 0.9661          | 0.6875   |
  | 0.7414        | 15.0  | 420  | 1.2787          | 0.5208   |
  | 0.5324        | 16.0  | 448  | 0.8592          | 0.7292   |
  | 0.3753        | 17.0  | 476  | 0.6860          | 0.7917   |
  | 0.3274        | 18.0  | 504  | 0.6210          | 0.8333   |
  | 0.3667        | 19.0  | 532  | 0.7310          | 0.75     |
  | 0.2347        | 20.0  | 560  | 0.6801          | 0.7292   |
  | 0.2036        | 21.0  | 588  | 0.9876          | 0.6875   |
  | 0.1711        | 22.0  | 616  | 0.6323          | 0.7917   |
  | 0.205         | 23.0  | 644  | 0.4414          | 0.8958   |
  | 0.0892        | 24.0  | 672  | 0.4253          | 0.8958   |
  | 0.0777        | 25.0  | 700  | 0.4703          | 0.8958   |
  | 0.0717        | 26.0  | 728  | 0.4883          | 0.8958   |
  | 0.041         | 27.0  | 756  | 0.6224          | 0.8542   |
  | 0.0493        | 28.0  | 784  | 0.5839          | 0.875    |
  | 0.0405        | 29.0  | 812  | 0.6454          | 0.8542   |
  | 0.04          | 30.0  | 840  | 0.6102          | 0.875    |
  | 0.0333        | 31.0  | 868  | 0.6080          | 0.875    |
  | 0.0303        | 32.0  | 896  | 0.5539          | 0.875    |
  | 0.025         | 33.0  | 924  | 0.5799          | 0.8958   |
  | 0.0246        | 34.0  | 952  | 0.5766          | 0.8958   |
  | 0.0209        | 35.0  | 980  | 0.5700          | 0.8958   |
  | 0.0225        | 36.0  | 1008 | 0.5709          | 0.8958   |
  | 0.0225        | 37.0  | 1036 | 0.5582          | 0.8958   |
  | 0.0217        | 38.0  | 1064 | 0.5258          | 0.875    |
  | 0.0207        | 39.0  | 1092 | 0.5058          | 0.8958   |
  | 0.0234        | 40.0  | 1120 | 0.4981          | 0.8958   |
  | 0.021         | 41.0  | 1148 | 0.4928          | 0.9167   |
  | 0.0224        | 42.0  | 1176 | 0.4962          | 0.9167   |
  | 0.0212        | 43.0  | 1204 | 0.5329          | 0.8958   |
  | 0.0208        | 44.0  | 1232 | 0.5727          | 0.8958   |
  | 0.0206        | 45.0  | 1260 | 0.5733          | 0.8958   |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  