readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-15
    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. -->
  
  # wav2vec2-15
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8623
  - Wer: 0.8585
  
  ## 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: 1e-05
  - train_batch_size: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 400
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 9.6808        | 1.37  | 200  | 3.7154          | 1.0    |
  | 3.0784        | 2.74  | 400  | 3.1542          | 1.0    |
  | 2.8919        | 4.11  | 600  | 2.9918          | 1.0    |
  | 2.8317        | 5.48  | 800  | 2.8971          | 1.0    |
  | 2.7958        | 6.85  | 1000 | 2.8409          | 1.0    |
  | 2.7699        | 8.22  | 1200 | 2.8278          | 1.0    |
  | 2.6365        | 9.59  | 1400 | 2.4657          | 1.0    |
  | 2.1096        | 10.96 | 1600 | 1.8358          | 0.9988 |
  | 1.6485        | 12.33 | 1800 | 1.4525          | 0.9847 |
  | 1.3967        | 13.7  | 2000 | 1.2467          | 0.9532 |
  | 1.2492        | 15.07 | 2200 | 1.1261          | 0.9376 |
  | 1.1543        | 16.44 | 2400 | 1.0654          | 0.9194 |
  | 1.0863        | 17.81 | 2600 | 1.0136          | 0.9161 |
  | 1.0275        | 19.18 | 2800 | 0.9601          | 0.8827 |
  | 0.9854        | 20.55 | 3000 | 0.9435          | 0.8878 |
  | 0.9528        | 21.92 | 3200 | 0.9170          | 0.8807 |
  | 0.926         | 23.29 | 3400 | 0.9121          | 0.8783 |
  | 0.9025        | 24.66 | 3600 | 0.8884          | 0.8646 |
  | 0.8909        | 26.03 | 3800 | 0.8836          | 0.8690 |
  | 0.8717        | 27.4  | 4000 | 0.8810          | 0.8646 |
  | 0.8661        | 28.77 | 4200 | 0.8623          | 0.8585 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  