readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2_common_voice_accents_scotland
    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_common_voice_accents_scotland
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2752
  
  ## 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: 48
  - eval_batch_size: 4
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 8
  - total_train_batch_size: 384
  - total_eval_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 4.7171        | 1.28  | 400  | 1.1618          |
  | 0.4391        | 2.56  | 800  | 0.2422          |
  | 0.2259        | 3.83  | 1200 | 0.2071          |
  | 0.1813        | 5.11  | 1600 | 0.2126          |
  | 0.1531        | 6.39  | 2000 | 0.2010          |
  | 0.1383        | 7.67  | 2400 | 0.2004          |
  | 0.13          | 8.95  | 2800 | 0.2069          |
  | 0.1193        | 10.22 | 3200 | 0.2081          |
  | 0.1124        | 11.5  | 3600 | 0.2051          |
  | 0.1023        | 12.78 | 4000 | 0.2175          |
  | 0.097         | 14.06 | 4400 | 0.2261          |
  | 0.0863        | 15.34 | 4800 | 0.2301          |
  | 0.0823        | 16.61 | 5200 | 0.2334          |
  | 0.079         | 17.89 | 5600 | 0.2252          |
  | 0.0743        | 19.17 | 6000 | 0.2393          |
  | 0.0696        | 20.45 | 6400 | 0.2481          |
  | 0.0644        | 21.73 | 6800 | 0.2416          |
  | 0.064         | 23.0  | 7200 | 0.2449          |
  | 0.0584        | 24.28 | 7600 | 0.2660          |
  | 0.0544        | 25.56 | 8000 | 0.2630          |
  | 0.0523        | 26.84 | 8400 | 0.2677          |
  | 0.0494        | 28.12 | 8800 | 0.2730          |
  | 0.0462        | 29.39 | 9200 | 0.2752          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  