readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-11
    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. -->
  
  # wav2vec2-11
  
  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: 3.0827
  - 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: 24
  - eval_batch_size: 6
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 4.2589        | 1.18  | 200  | 3.1595          | 1.0 |
  | 2.8683        | 2.35  | 400  | 3.1270          | 1.0 |
  | 2.8692        | 3.53  | 600  | 3.1041          | 1.0 |
  | 2.8577        | 4.71  | 800  | 3.0804          | 1.0 |
  | 2.8587        | 5.88  | 1000 | 3.0556          | 1.0 |
  | 2.8615        | 7.06  | 1200 | 3.1084          | 1.0 |
  | 2.8598        | 8.24  | 1400 | 3.0608          | 1.0 |
  | 2.8571        | 9.41  | 1600 | 3.0997          | 1.0 |
  | 2.8595        | 10.59 | 1800 | 3.1533          | 1.0 |
  | 2.8568        | 11.76 | 2000 | 3.0621          | 1.0 |
  | 2.8563        | 12.94 | 2200 | 3.1072          | 1.0 |
  | 2.8556        | 14.12 | 2400 | 3.1299          | 1.0 |
  | 2.8581        | 15.29 | 2600 | 3.0565          | 1.0 |
  | 2.8534        | 16.47 | 2800 | 3.0821          | 1.0 |
  | 2.857         | 17.65 | 3000 | 3.0734          | 1.0 |
  | 2.8545        | 18.82 | 3200 | 3.1392          | 1.0 |
  | 2.8568        | 20.0  | 3400 | 3.0541          | 1.0 |
  | 2.8519        | 21.18 | 3600 | 3.0856          | 1.0 |
  | 2.8542        | 22.35 | 3800 | 3.1477          | 1.0 |
  | 2.8565        | 23.53 | 4000 | 3.0433          | 1.0 |
  | 2.8525        | 24.71 | 4200 | 3.0826          | 1.0 |
  | 2.8538        | 25.88 | 4400 | 3.0972          | 1.0 |
  | 2.857         | 27.06 | 4600 | 3.0762          | 1.0 |
  | 2.8523        | 28.24 | 4800 | 3.0828          | 1.0 |
  | 2.8526        | 29.41 | 5000 | 3.0827          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  