readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec_mle
    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. -->
  
  # wav2vec_mle
  
  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.3076
  - Wer: 1.0
  
  ## 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: 0.0003
  - train_batch_size: 6
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 12
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 20
  - num_epochs: 60
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 7.3604        | 3.33  | 30   | 4.4612          | 1.0 |
  | 4.502         | 6.67  | 60   | 4.5906          | 1.0 |
  | 4.2842        | 10.0  | 90   | 4.4217          | 1.0 |
  | 4.3833        | 13.33 | 120  | 4.3967          | 1.0 |
  | 4.2631        | 16.67 | 150  | 4.3469          | 1.0 |
  | 4.3357        | 20.0  | 180  | 4.3372          | 1.0 |
  | 4.3941        | 23.33 | 210  | 4.3187          | 1.0 |
  | 4.393         | 26.67 | 240  | 4.2981          | 1.0 |
  | 4.3619        | 30.0  | 270  | 4.3049          | 1.0 |
  | 4.3849        | 33.33 | 300  | 4.3138          | 1.0 |
  | 4.3186        | 36.67 | 330  | 4.3123          | 1.0 |
  | 4.3196        | 40.0  | 360  | 4.3097          | 1.0 |
  | 4.3212        | 43.33 | 390  | 4.3279          | 1.0 |
  | 4.3108        | 46.67 | 420  | 4.3249          | 1.0 |
  | 4.3112        | 50.0  | 450  | 4.3093          | 1.0 |
  | 4.2994        | 53.33 | 480  | 4.3198          | 1.0 |
  | 4.2958        | 56.67 | 510  | 4.3071          | 1.0 |
  | 4.2905        | 60.0  | 540  | 4.3076          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  