readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-10
    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. -->
  
  # wav2vec2-10
  
  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: 3.0354
  - 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: 16
  - eval_batch_size: 4
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 4.2231        | 0.78  | 200  | 3.0442          | 1.0 |
  | 2.8665        | 1.57  | 400  | 3.0081          | 1.0 |
  | 2.8596        | 2.35  | 600  | 3.0905          | 1.0 |
  | 2.865         | 3.14  | 800  | 3.0443          | 1.0 |
  | 2.8613        | 3.92  | 1000 | 3.0316          | 1.0 |
  | 2.8601        | 4.71  | 1200 | 3.0574          | 1.0 |
  | 2.8554        | 5.49  | 1400 | 3.0261          | 1.0 |
  | 2.8592        | 6.27  | 1600 | 3.0785          | 1.0 |
  | 2.8606        | 7.06  | 1800 | 3.1129          | 1.0 |
  | 2.8547        | 7.84  | 2000 | 3.0647          | 1.0 |
  | 2.8565        | 8.63  | 2200 | 3.0624          | 1.0 |
  | 2.8633        | 9.41  | 2400 | 2.9900          | 1.0 |
  | 2.855         | 10.2  | 2600 | 3.0084          | 1.0 |
  | 2.8581        | 10.98 | 2800 | 3.0092          | 1.0 |
  | 2.8545        | 11.76 | 3000 | 3.0299          | 1.0 |
  | 2.8583        | 12.55 | 3200 | 3.0293          | 1.0 |
  | 2.8536        | 13.33 | 3400 | 3.0566          | 1.0 |
  | 2.8556        | 14.12 | 3600 | 3.0385          | 1.0 |
  | 2.8573        | 14.9  | 3800 | 3.0098          | 1.0 |
  | 2.8551        | 15.69 | 4000 | 3.0623          | 1.0 |
  | 2.8546        | 16.47 | 4200 | 3.0964          | 1.0 |
  | 2.8569        | 17.25 | 4400 | 3.0648          | 1.0 |
  | 2.8543        | 18.04 | 4600 | 3.0377          | 1.0 |
  | 2.8532        | 18.82 | 4800 | 3.0454          | 1.0 |
  | 2.8579        | 19.61 | 5000 | 3.0301          | 1.0 |
  | 2.8532        | 20.39 | 5200 | 3.0364          | 1.0 |
  | 2.852         | 21.18 | 5400 | 3.0187          | 1.0 |
  | 2.8561        | 21.96 | 5600 | 3.0172          | 1.0 |
  | 2.8509        | 22.75 | 5800 | 3.0420          | 1.0 |
  | 2.8551        | 23.53 | 6000 | 3.0309          | 1.0 |
  | 2.8552        | 24.31 | 6200 | 3.0416          | 1.0 |
  | 2.8521        | 25.1  | 6400 | 3.0469          | 1.0 |
  | 2.852         | 25.88 | 6600 | 3.0489          | 1.0 |
  | 2.854         | 26.67 | 6800 | 3.0394          | 1.0 |
  | 2.8572        | 27.45 | 7000 | 3.0336          | 1.0 |
  | 2.8502        | 28.24 | 7200 | 3.0363          | 1.0 |
  | 2.8557        | 29.02 | 7400 | 3.0304          | 1.0 |
  | 2.8522        | 29.8  | 7600 | 3.0354          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  