readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: output
    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. -->
  
  # output
  
  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: 4.1041
  - 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: 0.1
  - train_batch_size: 4
  - 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: 10
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 9.9461        | 0.13  | 10   | 15.0608         | 1.0    |
  | 14.0423       | 0.26  | 20   | 6.7504          | 1.0    |
  | 8.3772        | 0.39  | 30   | 11.9379         | 0.9994 |
  | 14.5978       | 0.52  | 40   | 11.9946         | 1.0    |
  | 14.3409       | 0.65  | 50   | 27.0088         | 1.0    |
  | 13.6096       | 0.78  | 60   | 11.5932         | 1.0    |
  | 11.9665       | 0.91  | 70   | 11.2733         | 1.0    |
  | 11.4185       | 1.04  | 80   | 11.3424         | 1.0    |
  | 8.8849        | 1.17  | 90   | 9.9160          | 1.0    |
  | 7.4571        | 1.3   | 100  | 8.4745          | 1.0    |
  | 5.098         | 1.43  | 110  | 5.9112          | 1.0    |
  | 4.3967        | 1.56  | 120  | 4.2660          | 1.0    |
  | 4.4123        | 1.69  | 130  | 4.3839          | 1.0    |
  | 4.1123        | 1.82  | 140  | 4.1882          | 1.0    |
  | 3.8196        | 1.95  | 150  | 4.2341          | 1.0    |
  | 3.9248        | 2.08  | 160  | 4.2814          | 1.0    |
  | 3.7829        | 2.21  | 170  | 4.3074          | 1.0    |
  | 3.8432        | 2.34  | 180  | 4.1633          | 1.0    |
  | 3.7821        | 2.47  | 190  | 4.1557          | 1.0    |
  | 3.8287        | 2.6   | 200  | 4.3340          | 1.0    |
  | 3.7915        | 2.73  | 210  | 4.2436          | 1.0    |
  | 3.7911        | 2.86  | 220  | 4.3358          | 1.0    |
  | 3.8335        | 2.99  | 230  | 4.1469          | 1.0    |
  | 3.7663        | 3.12  | 240  | 4.1145          | 1.0    |
  | 3.7516        | 3.25  | 250  | 4.0924          | 1.0    |
  | 3.7326        | 3.38  | 260  | 4.1800          | 1.0    |
  | 3.7447        | 3.51  | 270  | 4.1080          | 1.0    |
  | 3.7293        | 3.64  | 280  | 4.1557          | 1.0    |
  | 3.7541        | 3.77  | 290  | 4.1289          | 1.0    |
  | 3.7222        | 3.9   | 300  | 4.1041          | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  