readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: xls-r-300m-bemba-15hrs
    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. -->
  
  # xls-r-300m-bemba-15hrs
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2754
  - Wer: 0.3481
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.5142        | 0.71  | 400  | 0.5585          | 0.7501 |
  | 0.6351        | 1.43  | 800  | 0.3185          | 0.5058 |
  | 0.4892        | 2.15  | 1200 | 0.2813          | 0.4655 |
  | 0.4021        | 2.86  | 1600 | 0.2539          | 0.4159 |
  | 0.3505        | 3.58  | 2000 | 0.2411          | 0.4000 |
  | 0.3045        | 4.29  | 2400 | 0.2512          | 0.3951 |
  | 0.274         | 5.01  | 2800 | 0.2402          | 0.3922 |
  | 0.2335        | 5.72  | 3200 | 0.2403          | 0.3764 |
  | 0.2032        | 6.44  | 3600 | 0.2383          | 0.3657 |
  | 0.1783        | 7.16  | 4000 | 0.2603          | 0.3518 |
  | 0.1487        | 7.87  | 4400 | 0.2479          | 0.3577 |
  | 0.1281        | 8.59  | 4800 | 0.2638          | 0.3518 |
  | 0.113         | 9.3   | 5200 | 0.2754          | 0.3481 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  