readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-model2-torgo
    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-model2-torgo
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.9975
  - 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: 1
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 4
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer |
  |:-------------:|:-----:|:-----:|:---------------:|:---:|
  | 12.5453       | 0.76  | 500   | 14.6490         | 1.0 |
  | 4.8036        | 1.53  | 1000  | 8.4523          | 1.0 |
  | 5.0421        | 2.29  | 1500  | 5.4114          | 1.0 |
  | 5.2055        | 3.05  | 2000  | 11.0507         | 1.0 |
  | 4.6389        | 3.82  | 2500  | 4.6792          | 1.0 |
  | 4.5523        | 4.58  | 3000  | 4.7855          | 1.0 |
  | 4.7843        | 5.34  | 3500  | 11.2783         | 1.0 |
  | 4.6066        | 6.11  | 4000  | 8.7807          | 1.0 |
  | 4.7382        | 6.87  | 4500  | 2942.0220       | 1.0 |
  | 130.5733      | 7.63  | 5000  | 5.8412          | 1.0 |
  | 4.4972        | 8.4   | 5500  | 17.7038         | 1.0 |
  | 4.5196        | 9.16  | 6000  | 11.4548         | 1.0 |
  | 4.3198        | 9.92  | 6500  | 6.0885          | 1.0 |
  | 4.4273        | 10.69 | 7000  | 6.7374          | 1.0 |
  | 4.2783        | 11.45 | 7500  | 4.7276          | 1.0 |
  | 4.2985        | 12.21 | 8000  | 6.1412          | 1.0 |
  | 4.3262        | 12.98 | 8500  | 5.2621          | 1.0 |
  | 4.1705        | 13.74 | 9000  | 5.2214          | 1.0 |
  | 4.3176        | 14.5  | 9500  | 5.5359          | 1.0 |
  | 3.9808        | 15.27 | 10000 | 4.1537          | 1.0 |
  | 4.0228        | 16.03 | 10500 | 4.2962          | 1.0 |
  | 4.0595        | 16.79 | 11000 | 7.6361          | 1.0 |
  | 4.0088        | 17.56 | 11500 | 6.8715          | 1.0 |
  | 3.8727        | 18.32 | 12000 | 8.8657          | 1.0 |
  | 4.0073        | 19.08 | 12500 | 5.8170          | 1.0 |
  | 3.8511        | 19.85 | 13000 | 13.9836         | 1.0 |
  | 4.0899        | 20.61 | 13500 | 5.3287          | 1.0 |
  | 3.8782        | 21.37 | 14000 | 8.0635          | 1.0 |
  | 3.9235        | 22.14 | 14500 | 5.5129          | 1.0 |
  | 3.7276        | 22.9  | 15000 | 5.0819          | 1.0 |
  | 3.7908        | 23.66 | 15500 | 6.1458          | 1.0 |
  | 3.9176        | 24.43 | 16000 | 4.6094          | 1.0 |
  | 3.8477        | 25.19 | 16500 | 5.1406          | 1.0 |
  | 3.6917        | 25.95 | 17000 | 4.5684          | 1.0 |
  | 3.8568        | 26.72 | 17500 | 4.0306          | 1.0 |
  | 3.7231        | 27.48 | 18000 | 5.6331          | 1.0 |
  | 3.8145        | 28.24 | 18500 | 8.2997          | 1.0 |
  | 3.7809        | 29.01 | 19000 | 5.7468          | 1.0 |
  | 3.5995        | 29.77 | 19500 | 4.9975          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0
  - Datasets 1.18.3
  - Tokenizers 0.11.6
  