readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-7
    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. -->
  
  # wav2vec2-7
  
  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: 0.6017
  - Wer: 0.5200
  
  ## 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: 0.0001
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 5.1311        | 1.56  | 200  | 2.9839          | 1.0    |
  | 2.5727        | 3.12  | 400  | 1.4962          | 1.0209 |
  | 1.0187        | 4.69  | 600  | 0.7562          | 0.7859 |
  | 0.637         | 6.25  | 800  | 0.6529          | 0.6960 |
  | 0.4847        | 7.81  | 1000 | 0.6609          | 0.6745 |
  | 0.3952        | 9.38  | 1200 | 0.5808          | 0.6220 |
  | 0.3343        | 10.94 | 1400 | 0.5622          | 0.6004 |
  | 0.2897        | 12.5  | 1600 | 0.8842          | 0.5980 |
  | 0.2549        | 14.06 | 1800 | 0.6047          | 0.5765 |
  | 0.2334        | 15.62 | 2000 | 0.6436          | 0.5699 |
  | 0.2144        | 17.19 | 2200 | 0.5831          | 0.5593 |
  | 0.1982        | 18.75 | 2400 | 0.6327          | 0.5620 |
  | 0.1817        | 20.31 | 2600 | 0.8790          | 0.5456 |
  | 0.1713        | 21.88 | 2800 | 0.9603          | 0.5362 |
  | 0.163         | 23.44 | 3000 | 0.5940          | 0.5384 |
  | 0.1539        | 25.0  | 3200 | 0.6058          | 0.5311 |
  | 0.1392        | 26.56 | 3400 | 0.6131          | 0.5221 |
  | 0.1386        | 28.12 | 3600 | 0.6066          | 0.5258 |
  | 0.1351        | 29.69 | 3800 | 0.6017          | 0.5200 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  