readme: ---
  license: apache-2.0
  language:
  - gn
  tags:
  - generated_from_trainer
  - mozilla-foundation/common_voice_8_0
  - robust-speech-event
  - hf-asr-leaderboard
  datasets:
  - common_voice
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: wav2vec2-base-gn-demo
    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-base-gn-demo
  
  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: 0.7426
  - Wer: 0.7256
  
  ## 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: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine_with_restarts
  - lr_scheduler_warmup_steps: 50
  - num_epochs: 60
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 4.0   | 100  | 0.7045          | 0.7409 |
  | No log        | 8.0   | 200  | 0.7200          | 0.75   |
  | No log        | 12.0  | 300  | 0.7400          | 0.7439 |
  | No log        | 16.0  | 400  | 0.7677          | 0.7515 |
  | 0.0846        | 20.0  | 500  | 0.7765          | 0.7271 |
  | 0.0846        | 24.0  | 600  | 0.7821          | 0.7287 |
  | 0.0846        | 28.0  | 700  | 0.7671          | 0.7180 |
  | 0.0846        | 32.0  | 800  | 0.7594          | 0.7180 |
  | 0.0846        | 36.0  | 900  | 0.7500          | 0.7165 |
  | 0.0713        | 40.0  | 1000 | 0.7351          | 0.7287 |
  | 0.0713        | 44.0  | 1100 | 0.7361          | 0.7241 |
  | 0.0713        | 48.0  | 1200 | 0.7389          | 0.7378 |
  | 0.0713        | 52.0  | 1300 | 0.7424          | 0.7210 |
  | 0.0713        | 56.0  | 1400 | 0.7425          | 0.7256 |
  | 0.0669        | 60.0  | 1500 | 0.7426          | 0.7256 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  