readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wolof
    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. -->
  
  # wolof
  
  This model is a fine-tuned version of [LeBenchmark/wav2vec2-FR-2.6K-base](https://huggingface.co/LeBenchmark/wav2vec2-FR-2.6K-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2816
  - Wer: 0.3897
  
  ## 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: 20
  - 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: 1000
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.9468        | 1.67  | 1500 | 0.7036          | 0.6418 |
  | 0.5506        | 3.33  | 3000 | 0.4129          | 0.5018 |
  | 0.3817        | 5.0   | 4500 | 0.3414          | 0.4519 |
  | 0.2885        | 6.67  | 6000 | 0.3181          | 0.4305 |
  | 0.2275        | 8.33  | 7500 | 0.2920          | 0.4011 |
  | 0.1852        | 10.0  | 9000 | 0.2816          | 0.3897 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  