readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: xls-r-300m-bemba-20hrs
    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-20hrs
  
  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: 0.2815
  - Wer: 0.3435
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.3301        | 0.54  | 400  | 0.5177          | 0.7570 |
  | 0.6437        | 1.08  | 800  | 0.3580          | 0.5658 |
  | 0.5149        | 1.61  | 1200 | 0.2953          | 0.5004 |
  | 0.4547        | 2.15  | 1600 | 0.2701          | 0.4464 |
  | 0.4084        | 2.69  | 2000 | 0.2743          | 0.4383 |
  | 0.3606        | 3.23  | 2400 | 0.2482          | 0.3952 |
  | 0.3227        | 3.76  | 2800 | 0.2461          | 0.3965 |
  | 0.3025        | 4.3   | 3200 | 0.2484          | 0.4015 |
  | 0.2697        | 4.84  | 3600 | 0.2357          | 0.3838 |
  | 0.2443        | 5.38  | 4000 | 0.2385          | 0.3822 |
  | 0.2287        | 5.91  | 4400 | 0.2353          | 0.3747 |
  | 0.1977        | 6.45  | 4800 | 0.2337          | 0.3624 |
  | 0.1895        | 6.99  | 5200 | 0.2319          | 0.3568 |
  | 0.1561        | 7.53  | 5600 | 0.2540          | 0.3561 |
  | 0.1448        | 8.06  | 6000 | 0.2772          | 0.3612 |
  | 0.1221        | 8.6   | 6400 | 0.2755          | 0.3596 |
  | 0.1133        | 9.14  | 6800 | 0.2733          | 0.3495 |
  | 0.0969        | 9.68  | 7200 | 0.2815          | 0.3435 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  