readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - filipino_voice
  model-index:
  - name: english-filipino-wav2vec2-l-xls-r-test-09
    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. -->
  
  # english-filipino-wav2vec2-l-xls-r-test-09
  
  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: 1.0054
  - Wer: 0.5750
  
  ## 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: 0.002
  - 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: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.001         | 2.09  | 400  | 1.3499          | 0.9595 |
  | 0.8606        | 4.19  | 800  | 0.8159          | 0.6942 |
  | 0.5819        | 6.28  | 1200 | 0.7372          | 0.6700 |
  | 0.4751        | 8.38  | 1600 | 0.7310          | 0.6405 |
  | 0.3777        | 10.47 | 2000 | 0.7841          | 0.6414 |
  | 0.2918        | 12.57 | 2400 | 0.7898          | 0.5951 |
  | 0.2209        | 14.66 | 2800 | 0.8558          | 0.5751 |
  | 0.1671        | 16.75 | 3200 | 0.9881          | 0.5979 |
  | 0.129         | 18.85 | 3600 | 1.0054          | 0.5750 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  