readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-6
    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. -->
  
  # wav2vec2-6
  
  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: 5.2459
  - 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: 0.003
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 4.5873        | 1.56  | 200  | 5.4586          | 1.0 |
  | 4.1846        | 3.12  | 400  | 5.2278          | 1.0 |
  | 4.1711        | 4.69  | 600  | 5.3131          | 1.0 |
  | 4.1581        | 6.25  | 800  | 5.2558          | 1.0 |
  | 4.1275        | 7.81  | 1000 | 5.2556          | 1.0 |
  | 4.1452        | 9.38  | 1200 | 5.2637          | 1.0 |
  | 4.1614        | 10.94 | 1400 | 5.2847          | 1.0 |
  | 4.1667        | 12.5  | 1600 | 5.2349          | 1.0 |
  | 4.1471        | 14.06 | 1800 | 5.2850          | 1.0 |
  | 4.1268        | 15.62 | 2000 | 5.2510          | 1.0 |
  | 4.1701        | 17.19 | 2200 | 5.2605          | 1.0 |
  | 4.1459        | 18.75 | 2400 | 5.2493          | 1.0 |
  | 4.1411        | 20.31 | 2600 | 5.2649          | 1.0 |
  | 4.1351        | 21.88 | 2800 | 5.2541          | 1.0 |
  | 4.1442        | 23.44 | 3000 | 5.2459          | 1.0 |
  | 4.1805        | 25.0  | 3200 | 5.2232          | 1.0 |
  | 4.1262        | 26.56 | 3400 | 5.2384          | 1.0 |
  | 4.145         | 28.12 | 3600 | 5.2522          | 1.0 |
  | 4.142         | 29.69 | 3800 | 5.2459          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  