readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: xls-r-1b-bemba-5hrs
    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-1b-bemba-5hrs
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2659
  - Wer: 0.3884
  
  ## 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: 3e-05
  - train_batch_size: 4
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 400
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.1067        | 1.08  | 400  | 0.4681          | 0.8206 |
  | 0.5003        | 2.16  | 800  | 0.3052          | 0.5253 |
  | 0.3641        | 3.24  | 1200 | 0.2665          | 0.4437 |
  | 0.2847        | 4.32  | 1600 | 0.2526          | 0.4267 |
  | 0.2324        | 5.41  | 2000 | 0.2579          | 0.4211 |
  | 0.1789        | 6.49  | 2400 | 0.2593          | 0.3958 |
  | 0.1302        | 7.57  | 2800 | 0.2659          | 0.3884 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  