readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-17
    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. -->
  
  # wav2vec2-17
  
  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: 3.1355
  - 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: 32
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 50
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 7.5865        | 1.38  | 25   | 3.4717          | 1.0 |
  | 2.9762        | 2.77  | 50   | 3.1483          | 1.0 |
  | 2.9265        | 4.16  | 75   | 3.1946          | 1.0 |
  | 2.8813        | 5.55  | 100  | 3.0504          | 1.0 |
  | 2.887         | 6.93  | 125  | 3.1358          | 1.0 |
  | 2.9124        | 8.33  | 150  | 3.1653          | 1.0 |
  | 2.8854        | 9.71  | 175  | 3.1243          | 1.0 |
  | 2.91          | 11.11 | 200  | 3.0879          | 1.0 |
  | 2.8868        | 12.49 | 225  | 3.1658          | 1.0 |
  | 2.8827        | 13.88 | 250  | 3.1236          | 1.0 |
  | 2.911         | 15.27 | 275  | 3.1206          | 1.0 |
  | 2.8829        | 16.66 | 300  | 3.1171          | 1.0 |
  | 2.9105        | 18.05 | 325  | 3.1127          | 1.0 |
  | 2.8845        | 19.44 | 350  | 3.1377          | 1.0 |
  | 2.8803        | 20.82 | 375  | 3.1157          | 1.0 |
  | 2.9102        | 22.22 | 400  | 3.1265          | 1.0 |
  | 2.8803        | 23.6  | 425  | 3.1493          | 1.0 |
  | 2.8837        | 24.99 | 450  | 3.1085          | 1.0 |
  | 2.9106        | 26.38 | 475  | 3.1099          | 1.0 |
  | 2.8787        | 27.77 | 500  | 3.1352          | 1.0 |
  | 2.9132        | 29.16 | 525  | 3.1355          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  