readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: xls-r-1b-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-1b-bemba-15hrs
  
  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: 0.2134
  - Wer: 0.3485
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.3016        | 0.36  | 400  | 0.6032          | 0.9932 |
  | 0.5196        | 0.71  | 800  | 0.3089          | 0.5020 |
  | 0.4397        | 1.07  | 1200 | 0.2562          | 0.4223 |
  | 0.3617        | 1.43  | 1600 | 0.2269          | 0.4009 |
  | 0.36          | 1.79  | 2000 | 0.2106          | 0.3896 |
  | 0.3404        | 2.14  | 2400 | 0.2079          | 0.3681 |
  | 0.2915        | 2.5   | 2800 | 0.2024          | 0.3488 |
  | 0.2869        | 2.86  | 3200 | 0.2068          | 0.3550 |
  | 0.2492        | 3.22  | 3600 | 0.1925          | 0.3273 |
  | 0.2542        | 3.57  | 4000 | 0.2041          | 0.3446 |
  | 0.2333        | 3.93  | 4400 | 0.1985          | 0.3386 |
  | 0.2023        | 4.29  | 4800 | 0.2134          | 0.3485 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  