readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - filipino_voice
  model-index:
  - name: english-filipino-wav2vec2-l-xls-r-test-05
    results: []
  ---
  # english-filipino-wav2vec2-l-xls-r-test-05
  
  ## Model description
  
  This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the filipino_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4738
  - Wer: 0.2684
  
  ### 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: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.3328        | 2.09  | 400  | 2.2174          | 0.9733 |
  | 0.6432        | 4.19  | 800  | 0.3735          | 0.3896 |
  | 0.2741        | 6.28  | 1200 | 0.3639          | 0.3425 |
  | 0.1877        | 8.38  | 1600 | 0.3506          | 0.3425 |
  | 0.1408        | 10.47 | 2000 | 0.3644          | 0.3181 |
  | 0.1133        | 12.57 | 2400 | 0.3837          | 0.3047 |
  | 0.0953        | 14.66 | 2800 | 0.4415          | 0.3103 |
  | 0.0814        | 16.75 | 3200 | 0.3940          | 0.3092 |
  | 0.0707        | 18.85 | 3600 | 0.4164          | 0.3013 |
  | 0.059         | 20.94 | 4000 | 0.4488          | 0.2983 |
  | 0.0545        | 23.04 | 4400 | 0.4803          | 0.3028 |
  | 0.0482        | 25.13 | 4800 | 0.4731          | 0.2811 |
  | 0.0426        | 27.23 | 5200 | 0.4606          | 0.2757 |
  | 0.0395        | 29.32 | 5600 | 0.4738          | 0.2684 |
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  